JP5260228B2 - Visceral fat estimation device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a visceral fat estimating device for generating and displaying a real abdominal cross section shape such as the shapes of an internal organ and subcutaneous fat, etc. from physical information of a user. <P>SOLUTION: The visceral fat estimating device for generating a visceral fat shape includes: an input part for inputting the girth of the abdomen; a database for storing a visceral fat area estimation formula, a visceral fat model, its feature point coordinate, a visceral fat area, and a movement distance per unit visceral fat area difference of the feature point; a visceral fat area estimation value calculating part for substituting the girth of the abdomen into the visceral fat area estimation formula, and calculating a visceral fat area estimation value; a visceral fat area difference calculating part for calculating the visceral fat area difference being a difference between the visceral fat area estimation value and the visceral fat area of the visceral fat model; a visceral fat feature point movement distance calculating part for calculating the movement distance of the feature point, on the basis of the visceral fat area difference and the movement distance per unit visceral fat area difference of the feature point, and calculating the movement position of the feature point; and a visceral fat shape generating part for generating the visceral fat shape by deforming the visceral fat model, on the basis of the movement position of the feature point. <P>COPYRIGHT: (C)2010,JPO&amp;INPIT

Description

  The present invention relates to a visceral fat estimation device that estimates and displays abdominal cross-sectional shapes such as visceral fat and subcutaneous fat shapes from user's body information.

The visceral fat area is measured by taking a tomographic image of the navel region with X-ray CT or the like, but the apparatus is expensive and large, and is difficult to measure easily. Therefore, there is a device that estimates the visceral fat area from body information such as abdominal circumference that can be easily measured by the user, and displays the size in a circle. (For example, see Patent Document 1).
Japanese Patent No. 391095

  The actual cross-sectional shape of visceral fat is not a circle but a complicated shape. In order to make the user understand the visceral fat accumulation state and improve health consciousness, it is important to display a realistic visceral fat shape and appeal to the eye. However, in the prior art, a method for estimating and displaying a realistic visceral fat shape has not been considered.

  An object of the present invention is to provide a visceral fat estimation device that estimates and displays abdominal cross-sectional shapes such as realistic visceral fat shapes and subcutaneous fat shapes from user's body information.

A typical example of the present invention is as follows. That is, a visceral fat estimation device that creates an abdominal cross-sectional shape such as a user's visceral fat shape and subcutaneous fat shape, and calculates an estimated visceral fat area from at least an input unit for inputting the user's abdominal circumference and the user's abdominal circumference Visceral fat area estimation formula, visceral fat model image, coordinates of visceral fat feature point of the visceral fat model image, visceral fat area of the visceral fat model image, visceral fat feature of the visceral fat model image It has a database that stores the movement distance per unit visceral fat area difference of points,
The visceral fat estimation device substitutes the input user's abdominal circumference into the visceral fat area estimation formula, calculates a visceral fat area estimated value, a visceral fat area estimated value calculation unit, and the visceral fat area estimated value; A visceral fat area difference calculating unit that calculates a visceral fat area difference that is a difference from a visceral fat area of the visceral fat model image, and a unit visceral fat area of the visceral fat area difference and a visceral fat feature point of the visceral fat model image The moving distance of the visceral fat feature point of the visceral fat model image is calculated from the moving distance per difference, and the moving distance of the visceral fat feature point of the visceral fat model image and the moving distance of the visceral fat feature point of the visceral fat model image are calculated. A visceral fat feature point moving distance calculation unit that calculates a moving position of the visceral fat feature point, and a deformed visceral fat model image based on the moving position of the visceral fat feature point, and Characterized in that it comprises a visceral fat shape creating section for creating shape.

  According to one embodiment of the present invention, based on the feature point movement coefficient (movement distance per unit visceral fat area difference) of the visceral fat model image that reflects the characteristics of the visceral fat shape change, Since the feature point moving position is calculated and the visceral fat shape is created, the visceral fat shape of the user can be displayed realistically.

  Example 1 of the present invention will be described. In the first embodiment, when the user's abdominal circumference is input to the visceral fat estimation device, the visceral fat area and the total fat (visceral fat + subcutaneous fat) area are estimated, and the user's visceral fat shape, subcutaneous fat shape, and the like are based on the estimated values. A visceral fat estimation device that creates and displays a cross-sectional shape of the abdomen will be described.

  The visceral fat estimation apparatus according to the first embodiment of the present invention includes a CPU, a memory, and a storage medium. The storage medium is, for example, a nonvolatile storage medium, and includes a magnetic disk or a nonvolatile memory, and stores a program for realizing the visceral fat estimation device, a result calculated by the visceral fat estimation device, and the like. The memory expands a program stored in the storage medium. The CPU executes the program expanded in the memory. Processing and operations described below are executed by the CPU.

FIG. 1 is a block diagram illustrating an example of the configuration of the visceral fat estimation apparatus according to the first embodiment of the present invention.
The visceral fat estimation device includes a visceral fat estimation terminal 101 and a database 106.
The visceral fat estimation terminal 101 includes an input unit 102, an abdominal section shape creation unit 105, and an output unit 104. The input unit 102 is a mouse and a keyboard. The output unit 104 is a display that displays the result calculated by the visceral fat estimation terminal 101.

  The abdominal cross-sectional shape creation unit 105 includes a visceral fat shape creation unit 103, an abdominal muscle shape creation unit 109, and a subcutaneous fat shape creation unit 115. The visceral fat shape creation unit 103 includes a visceral fat area estimated value calculation unit 114, a visceral fat area difference calculation unit 107, and a visceral fat feature point moving distance calculation unit 108. The visceral fat area estimated value calculation unit 114 calculates the visceral fat area estimated value from the body information such as the user's abdominal circumference input by the input unit 102.

  The visceral fat area difference calculating unit 107 calculates the difference between the visceral fat area estimated value calculated by the visceral fat area estimated value calculating unit 114 and the visceral fat area of the visceral fat model image stored in the database 106. The visceral fat feature point moving distance calculating unit 108 calculates the moving distance of the visceral fat feature point from the visceral fat area difference calculated by the visceral fat area difference calculating unit 107 and the visceral fat moving coefficient stored in the database 106. The movement position of the visceral fat feature point is calculated. The visceral fat shape creation unit 103 deforms the visceral fat model image stored in the database 106 based on the movement position of the visceral fat feature point calculated by the visceral fat feature point movement distance calculation unit 108 to change the visceral fat shape image. Create

  Here, the visceral fat feature points are the frontmost point of the visceral fat model image, the leftmost or right side point of the visceral fat model image, the contact point between the visceral fat model image and the spinal peripheral tissue model image described later, The midpoint between the rectus abdominis muscle and the external oblique muscle of the abdominal muscle model image is set as at least a visceral fat feature point and managed together with the coordinates. The setting of the visceral fat feature point is not limited to this, and it is also possible to set an arbitrary point in the visceral fat outer peripheral portion after setting the above.

  The abdominal muscle shape creation unit 109 includes an abdominal muscle feature point movement position calculation unit 110. The abdominal muscle feature point movement position calculation unit 110 moves the abdominal muscle feature point from the movement position of the visceral fat feature point calculated by the visceral fat feature point movement distance calculation unit 108 and the coordinates of the abdominal muscle feature point stored in the database 106. Calculate the position. The abdominal muscle shape creation unit 109 creates an abdominal muscle shape by deforming the abdominal muscle model image stored in the database 106 based on the abdominal muscle feature point movement position calculated by the abdominal muscle feature point movement position calculation unit 110.

  Here, the abdominal muscle feature point is obtained by calculating the tangent of the abdominal muscle shape with the point on the leftmost side of the abdominal muscle model image, the point in contact with the surrounding tissue of the spine (back side), and the adjacent two points of the visceral fat feature point. (Front side) is set as an abdominal muscle feature point and is managed together with coordinates.

  The subcutaneous fat shape creation unit 115 includes a total fat area estimated value calculation unit 113, a total fat area difference calculation unit 111, and a subcutaneous fat feature point moving distance calculation unit 112. The total fat area estimated value calculation unit 113 calculates a total fat area estimated value that is the sum of the visceral fat area and the subcutaneous fat area from the body information such as the user's abdominal circumference input by the input unit 102. The total fat area difference calculating unit 111 calculates the difference between the total fat area estimated value calculated by the total fat area estimated value calculating unit 113 and the total fat area of the subcutaneous fat model image stored in the database 106. The subcutaneous fat feature point moving distance calculating unit 112 calculates the moving distance of the subcutaneous fat feature point from the total fat area difference calculated by the total fat area difference calculating unit 111 and the subcutaneous fat moving coefficient stored in the database 106. Then, the moving position of the subcutaneous fat feature point is calculated. The subcutaneous fat shape creation unit 115 deforms the subcutaneous fat model image stored in the database 106 based on the movement position of the subcutaneous fat feature point calculated by the subcutaneous fat feature point movement distance calculation unit 112, thereby reducing the subcutaneous fat shape. Create

  Here, the subcutaneous fat feature points are the frontmost point of the subcutaneous fat model image, the leftmost or right side point of the subcutaneous fat model image, the rearmost point of the subcutaneous fat model image, the subcutaneous fat model image The point on the back side of the spine is set as at least a subcutaneous fat feature point and managed together with the coordinates. The setting of the subcutaneous fat feature point is not limited to this, and it is also possible to set an arbitrary point on the outer periphery of the subcutaneous fat after setting the above.

The abdominal cross-sectional shape creation unit 105 stores the subcutaneous fat shape created by the subcutaneous fat shape creation unit 115, the abdominal muscle shape created by the abdominal muscle shape creation unit 109, the visceral fat shape created by the visceral fat shape creation unit 103, and the database 106. The abdomen cross-sectional shape is created by superimposing the spine peripheral tissue models in this order and displayed on the output unit 104.
The database 106 includes a model shape data management unit 120, a movement coefficient management unit 122, an estimation formula information management unit 123, and an abdominal section model management unit 125.

  The model shape data management unit 120 includes the XY coordinates and visceral fat area values of the feature points of the visceral fat model image, the XY coordinates of the feature points of the abdominal muscle model image, the XY coordinates and the total fat area values of the feature points of the subcutaneous fat model image. Manage. The movement coefficient management unit 122 manages the movement distance of the visceral fat feature points per unit visceral fat area difference and the movement distance of the subcutaneous fat feature points per unit total fat area difference. The estimation formula information management unit 123 manages the visceral fat area estimation formula and the total fat area estimation formula. The abdominal cross-section model management unit 125 manages the visceral fat model image, the subcutaneous fat model image, the abdominal muscle model image, and the spine peripheral tissue model image. The database 106 may manage data other than the information described above.

  FIG. 2 is a diagram illustrating an example of two abdominal CT images (images of the same person) having different visceral fat areas and subcutaneous fat areas. Subcutaneous fat 201 of the first abdominal CT image (upper figure), abdominal muscles (stratus abdominal muscle 202, external oblique oblique muscle 203), visceral fat 204, spine peripheral tissue (spine 206, large psoas muscle / vertebral column standing muscle 205, The vena cava / aorta 207) is shown. Also, subcutaneous fat 211, abdominal muscles (stratus abdominal muscle 212, external oblique abdominal muscle 213), visceral fat 214, spine peripheral tissue (spine 216, large psoas muscle / vertebral column standing muscle 215) of the second abdominal CT image (lower figure) , Vena cava and aorta 217). In Example 1, an abdominal cross-sectional shape based on an abdominal cross-sectional model (visceral fat, abdominal muscle, subcutaneous fat, spine peripheral tissue model image) created from two abdominal CT images having different visceral fat areas and subcutaneous fat areas. A method for generating / displaying a message will be described. A method for creating the abdominal section model will be described in a second embodiment.

  Details of the processing in the first embodiment of the present invention will be described using the flowchart of FIG. FIG. 3 is a flowchart illustrating an example of a process flow from when the user's abdominal circumference is input through the input unit 102 until the abdomen cross-sectional shape is displayed. In this flowchart, first, a visceral fat shape is created, then an abdominal muscle shape is created, and finally a subcutaneous fat shape is created.

First, the flow of visceral fat shape generation will be described with reference to FIGS. 4, 5, 6, 7, and 8.
FIG. 4 is a diagram illustrating an example of estimation formula information managed by the estimation formula information management unit 123. A visceral fat area estimation formula 1401 and a total fat area estimation formula 1402 for calculating a visceral fat area estimation value and a total fat area estimation value by inputting the user's abdominal circumference are managed. This estimation formula can be created by regression analysis of the relationship between a large amount of abdominal circumference, visceral fat area, and subcutaneous fat area. Thereby, the visceral fat area estimated value and the total fat area estimated value can be calculated from the user's abdominal circumference.

  FIG. 5 is a diagram showing an example of a visceral fat model image managed by the abdominal cross-section model management unit 125 and a spinal peripheral tissue model image 320 composed of the spine, the psoas major muscle / vertebral column standing muscle, the vena cava / aorta. is there. The visceral fat model image includes a visceral fat shape 301, visceral fat feature points 303 to 309, and a spine center point 302. Since visceral fat is almost symmetrical, visceral fat feature points are set only on the left side of the body. The visceral fat feature point 309 is a contact point with the spine peripheral tissue model image.

  FIG. 6 is a diagram illustrating an example of the shape data of the visceral fat model image managed by the model shape data management unit 120. The X coordinate 402 (Xv0 to Xv7) and Y coordinate 403 (Yv0 to Yv7) of the spine center point 302, the visceral fat feature points 303 to 309 and the visceral fat area value 404 (VFA1) of the visceral fat model image are managed. .

  FIG. 7 is a diagram illustrating an example of movement coefficient information of visceral fat feature points managed by the movement coefficient management unit 122. The movement distance (movement coefficient) per unit visceral fat area difference of the spine center point 302 and the visceral fat feature points 303 to 309 is managed. The movement coefficient is managed separately for an X component 502 (dXv0 to dXv7) and a Y component 503 (dYv0 to dYv7). It should be noted that the position of the visceral fat feature point 309, which is a contact point between the spine center point 302 and the spine peripheral tissue model image, is substantially unchanged even if the visceral fat / subcutaneous fat changes, so dXv0, dXv7, dYv0, dYv7 are 0.

  The visceral fat model image in FIG. 5, the shape data of the visceral fat model image in FIG. 6, and the movement coefficient of the visceral fat feature point in FIG. 7 are two abdominal CT images with different visceral fat areas and subcutaneous fat areas (images of the same person). ) (The calculation method will be described in the second embodiment), and this information makes it possible to generate a realistic visceral fat shape that reflects the characteristics of visceral fat shape change.

  Returning to the flowchart of FIG. When the visceral fat estimation terminal 101 starts processing (1301), a user information input step 1302 is performed. Here, visceral fat estimation terminal 101 displays a screen for inputting user information as shown in FIG.

  FIG. 16 is an explanatory diagram illustrating an example of an input screen displayed on the output unit 104 according to the first embodiment of this invention. The user information input screen 1601 displays an abdominal circumference input field 1602 and an execution button 1603 for determining input of user information.

  The visceral fat estimation terminal 101 causes the user to measure the abdominal girth with a measure or the like, input the abdominal girth input field 1602 using the mouse or keyboard of the input unit 102, and operate the execution button 1603 when the input is completed. Instruct the user.

  Next, a visceral fat area estimated value calculation step 1303 is performed. First, the visceral fat estimation terminal 101 acquires the visceral fat area estimation formula 1401 from the estimation formula information of FIG. 4 managed by the estimation formula information management unit 123. Next, the visceral fat area estimated value calculation unit 114 substitutes the user's abdominal circumference input in the user information input step 1302 into the visceral fat area estimation formula 1401 to calculate the visceral fat area estimated value. Thereby, the visceral fat area estimated from the user's abdominal circumference can be calculated.

  Next, a visceral fat area difference calculating step 1304 is performed. First, the visceral fat estimation terminal 101 acquires the visceral fat area value 404 (VFA1) of the visceral fat model image from the shape data of the visceral fat model in FIG. 6 managed by the model shape data management unit 120. Next, the visceral fat area difference calculation unit 107 is a difference between the visceral fat area value 404 of the acquired visceral fat model image and the visceral fat area estimated value calculated by the visceral fat area estimated value calculation unit 114. The area difference is calculated. Thereby, the difference between the size of the visceral fat shape estimated from the user's abdominal circumference and the size of the visceral fat model image can be calculated.

  Next, a visceral fat feature point moving distance calculation step 1305 is performed. First, the visceral fat estimation terminal 101 manages the movement coefficients (X component: dXv0-7, Y component: dYv0-7) of the visceral fat feature points managed by the movement coefficient management unit 122 and the model shape data management unit 120. The feature point coordinates (X coordinate: Xv0-7, Y coordinate: Yv0-7) of the visceral fat model image are acquired. Next, the visceral fat feature point moving distance calculating unit 108 calculates the X component (dXv0 to 7) and Y component (dYv0 to 7) of the acquired movement coefficient of the visceral fat feature point by the visceral fat area difference calculating unit 107. The movement distance (X ′ component, Y ′ component) of the visceral fat feature points is calculated for each feature point by multiplying the obtained visceral fat area difference. Then, the visceral fat feature point moving distance calculating unit 108 calculates the moving distance of the visceral fat feature point calculated as the feature point coordinates (X coordinate: Xv0-7, Y coordinate: Yv0-7) of the acquired visceral fat model image. The X ′ component and Y ′ component are added to calculate the movement position (X ′ coordinate: X′v0-7, Y ′ coordinate: Y′v0-7) of the visceral fat feature point. That is, in terms of the expression, the movement position of the visceral fat feature point is such that the X ′ coordinate is X′vN = XvN + dXvN × visceral fat area difference (where N = 0 to 7), and the Y ′ coordinate is Y′vN = YvN + dYvN × visceral fat area difference (where N = 0 to 7). Thereby, the movement position of the visceral fat feature point corresponding to the estimated value of the visceral fat area of the user can be calculated.

  Next, a visceral fat shape generation step 1306 is performed. First, the visceral fat estimation terminal 101 acquires the visceral fat model image managed by the abdominal cross-section model management unit 125 and the feature point coordinates of the visceral fat model image managed by the model shape data management unit 120. Next, the visceral fat shape creation unit 103 calculates the feature point coordinates (X coordinate: Xv0-7, Y coordinate: Yv0-7) of the visceral fat model image and the visceral fat feature point movement distance calculation unit 108. The left side of the acquired visceral fat model image is deformed by warping from the movement position of fat feature points (X′v0 to 7, Y ′ coordinates: Y′v0 to 7) to create a left visceral fat shape. Then, the created left visceral fat shape is copied and inverted to create the right shape, and the visceral fat shape 611 after the feature point movement is created.

  A specific creation method will be described with reference to the example of FIG. FIG. 8 is an example of a diagram illustrating a method for creating a visceral fat shape from a visceral fat model image. In the upper diagram, the shape 301 of the visceral fat model image, its feature points 303 to 309, and triangular elements 623 (triangles having the feature points 303, 304, and 305 as vertices) composed of the feature points 303 to 309, 624 (feature points) 305, 306, 307 (triangles with vertices) and 625 (triangles with feature points 307, 308, 309 as vertices). Further, in the figure below, the visceral fat shape 611 after the feature point is moved, its feature points 613 to 619 (points where the feature points 303 to 309 have been moved), and a triangular element 633 (feature points 613, 613) composed of the feature points 613 to 619 614 (triangles with vertices 615, 616, and 617) and 635 (triangles with vertices with feature points 617, 618, and 619). The visceral fat shape creation unit 103 associates the triangular elements 623 to 625 of the visceral fat model image with the triangular elements 633 to 635 after moving the feature points (specifically, the triangular elements 623 and 633, 624 and 634, 625). And 635) to map the color information in the triangular element of the visceral fat model image into the corresponding triangular element after moving the feature point, thereby creating a visceral fat shape. Thereby, a realistic visceral fat shape corresponding to the estimated visceral fat area of the user can be created.

  Next, the flow of abdominal muscle shape generation will be described with reference to FIGS.

  FIG. 9 is a diagram illustrating an example of an abdominal muscle model image managed by the abdominal cross-section model management unit 125. The abdominal muscle model image includes an abdominal muscle shape 700 and abdominal muscle feature points 701 to 705. Since the abdominal muscles are also almost symmetrical, the abdominal muscle feature points are set only on the left side of the body.

  FIG. 10 is a diagram illustrating an example of shape data of the abdominal muscle model image managed by the model shape data management unit 120. X coordinates 802 (Xf0 to Xf4) and Y coordinates 803 (Yf0 to Yf4) of abdominal muscle feature points 701 to 705 are managed.

  Returning to the flowchart of FIG. In the abdominal muscle feature point movement position calculation step 1307, first, the visceral fat estimation terminal 101 uses the feature point coordinates (X coordinate: Xf0-4, Y coordinate: Yf0-4) of the abdominal muscle model image managed by the model shape data management unit 120. And feature point coordinates (X coordinate: Xv0-7, Y coordinate: Yv0-7) of the visceral fat model image. Next, the abdominal muscle feature point movement position calculation unit 110 calculates the abdominal muscles from the acquired abdominal muscle feature point coordinates, the visceral fat feature point coordinates, and the movement position of the visceral fat feature point calculated by the visceral fat feature point movement distance calculation unit 108. The moving position of the feature point is calculated.

  A specific calculation method will be described with reference to the example of FIG. FIG. 11 is an example of a diagram illustrating a method for calculating the feature point movement position of the abdominal muscle model image. In the upper diagram, the shape 700 of the abdominal muscle model image, its feature points 701 to 705, and visceral fat feature points 303 to 309 are shown. In addition, rectangles 711 (rectangles that connect the feature points 303 and 305 to the base and pass through the feature points 701) and 712 (the lines that connect the feature points 305 and 703 are the bases) composed of these abdominal muscle feature points and visceral fat feature points. And 713 (a rectangle connecting the feature points 306 and 308 and a rectangle passing through the feature point 703), 714 (a rectangle passing through the feature point 704 and a line connecting the feature points 703 and 705) Is shown.

  In the lower figure, the abdominal muscle shape 900 after the feature point movement, the feature points 901 to 905, and the visceral fat feature points 613 to 619 are shown. Further, a rectangle 911 (a rectangle connecting the feature points 613 and 615 as a base and a rectangle passing through the feature point 901) composed of these abdominal muscle feature points and visceral fat feature points, and 912 (a line connecting the feature points 615 and 903 as a base) , 913 (a rectangle connecting the feature points 616 and 618 and a rectangle passing through the feature point 903), 914 (a rectangle connecting the feature points 903 and 905 as a base and passing through the feature point 904) Is shown.

  Since the abdominal muscles have a characteristic that the area is almost constant and changes, the abdominal muscle feature point movement position calculation unit 110 makes the areas of the rectangles 711 to 714 before moving the feature points and the rectangles 911 to 914 after moving the feature points equal. The moving position of the abdominal muscle feature point is calculated. Specifically, the abdominal muscle feature point 701 is described as an example. First, the base b (distance between the feature points 303 and 305) and the height h (distance between the base b and the feature point 701) of the rectangle 711, and the base b of the rectangle 911 are illustrated. '(Distance between feature points 613 and 615) is calculated. Then, a position where the relative positional relationship between the visceral fat feature points 303 and 305 before the movement is equal to the height h ′ (= b × h / b ′) from the base b ′ is calculated, and the abdominal muscle feature point 701 is calculated. The position of the point 901 after the movement of. For other abdominal muscle feature points, the position after movement is calculated in the same procedure. First, the position of the point 903 after movement of the abdominal muscle feature point 703 is calculated, and then the position of the point 902 after movement of the feature point 702 and the position of the point 904 after movement of the feature point 704 are calculated. Further, since there is a feature where the position of the feature point 705 does not change, the feature point 905 is set to the same position as the feature point 705. By calculating the moving position of the abdominal muscle feature point in this way, it is possible to calculate the moving position of the abdominal muscle feature point reflecting the shape change feature of the abdominal muscles.

  Next, in the abdominal muscle shape generation step 1308, first, the visceral fat estimation terminal 101 uses the abdominal muscle model image managed by the abdominal cross section model management unit 125, the feature point coordinates of the abdominal muscle model managed by the model shape data management unit 120, and the internal organs. Get the feature point coordinates of the fat model. Next, the abdominal muscle shape creation unit 109 performs abdominal muscle model feature point coordinates, visceral fat model feature point coordinates, abdominal muscle feature point movement position calculated by the abdominal muscle feature point movement position calculation unit 110, and visceral fat feature point movement distance. From the movement position of the visceral fat feature point calculated by the calculation unit 108, the left side of the acquired abdominal muscle model image is deformed by warping to create a left abdominal muscle shape. Then, the created left abdominal muscle shape is copied and inverted to create the right shape, and the abdominal muscle shape 900 after moving the feature points is created. A specific creation method will be described with reference to the example of FIG. In the upper figure, triangular elements 721 (triangles having the characteristic points 303, 305, 701 as vertices), 722 (characteristic points 305, 701, vertices) composed of characteristic points 303, 305 of the visceral fat model and characteristic points 701-705 of the abdominal muscle model 703 (triangles whose vertices are 702 and 703) and 723 (triangles whose vertices are feature points 703, 704 and 705). Further, in the following figure, triangular elements 921 (triangles having the feature points 613, 615, 901 as vertices) and 922 (feature points 615, 615) composed of visceral fat feature points 613, 615 and abdominal muscle feature points 901-905 after movement. 903 (triangles having vertices 902 and 903) and 923 (triangles having vertices having feature points 903, 904, and 905). The abdominal muscle shape creation unit 109 associates the triangular elements 721 to 723 of the abdominal muscle model image with the triangular elements 921 to 923 after moving the feature points (specifically, triangular elements 721 and 921, 722 and 922, 723 and 923). The abdominal muscle shape is created by mapping the color information in the triangular element of the abdominal muscle model image into the corresponding triangular element after moving the corresponding feature point. Thereby, a realistic abdominal muscle shape reflecting the feature of the shape change of the abdominal muscles can be created.

  Next, the flow of subcutaneous fat shape generation will be described with reference to FIGS.

  FIG. 12 is a diagram illustrating an example of a subcutaneous fat model image managed by the abdominal cross-section model management unit 125. The subcutaneous fat model image is composed of a subcutaneous fat shape 1000 and subcutaneous fat feature points 1001 to 1007. Since the subcutaneous fat is also almost symmetrical, the subcutaneous fat feature points are set only on the left side of the body.

  FIG. 13 is a diagram illustrating an example of shape data of a subcutaneous fat model image managed by the model shape data management unit 120. The X coordinate 1102 (Xs0 to Xs6) and Y coordinate 1003 (Ys0 to Ys6) of the subcutaneous fat feature points 1001 to 1007 and the total fat area value 1104 (AFA1) of the subcutaneous fat model image are managed.

  FIG. 14 is a diagram illustrating an example of movement coefficient information of subcutaneous fat feature points managed by the movement coefficient management unit 122. The movement distance (movement coefficient) per unit total fat area difference of the subcutaneous fat feature points 1001 to 1007 is managed. The movement coefficient is managed separately for the X component 1202 (dXs0 to dXs6) and the Y component 1203 (dYs0 to dYs6).

  The subcutaneous fat model image of FIG. 12, the shape data of the subcutaneous fat model image of FIG. 13, and the movement coefficient of the subcutaneous fat feature point of FIG. 14 are two abdominal CT images with different visceral fat areas and subcutaneous fat areas (images of the same person). ) (The calculation method is described in the second embodiment), it is possible to generate a realistic subcutaneous fat shape that reflects the characteristics of the subcutaneous fat shape change.

  Returning to the flowchart of FIG.

  In the total fat area estimated value calculation step 1309, first, the visceral fat estimation terminal 101 acquires the total fat area estimation formula 1402 from the estimation formula information of FIG. 4 managed by the estimation formula information management unit 123. Next, the total fat area estimated value calculation unit 113 substitutes the user's abdominal circumference input in the user information input step 1302 into the total fat area estimation formula 1402 to calculate the total fat area estimated value. Thereby, the total fat area estimated from a user's waist circumference is computable.

  Next, in the total fat area difference calculation step 1310, first, the visceral fat estimation terminal 101 calculates the total fat area of the subcutaneous fat model image from the shape data of the subcutaneous fat model in FIG. 13 managed by the model shape data management unit 120. The value 1104 (AFA1) is acquired. Next, the total fat area difference calculating unit 111 calculates the total fat area value 1104 of the acquired subcutaneous fat model image and the total fat area estimated value calculated by the total fat area estimated value calculating unit 113. The area difference is calculated. Thereby, the difference between the size of the subcutaneous fat shape estimated from the user's waist circumference and the size of the subcutaneous fat model image can be calculated.

  Next, in the subcutaneous fat feature point movement distance calculation step 1311, first, the visceral fat estimation terminal 101 performs the movement coefficient (X component: dXs0 to 6, Y component: dYs0) of the subcutaneous fat feature point managed by the movement coefficient management unit 122. To 6) and the feature point coordinates (X coordinate: Xs0 to 6, Y coordinate: Ys0 to 6) of the subcutaneous fat model image managed by the model shape data management unit 120 are acquired. Next, the subcutaneous fat feature point moving distance calculating unit 112 calculates the X component (dXs0 to 6) and Y component (dYs0 to 6) of the acquired subcutaneous fat feature point moving coefficient by the total fat area difference calculating unit 111. The total fat area difference is multiplied, and the movement distance (X ′ component, Y ′ component) of the subcutaneous fat feature point is calculated for each feature point. Then, the subcutaneous fat feature point moving distance calculation unit 112 calculates the moving distance of the calculated subcutaneous fat feature point to the feature point coordinates (X coordinate: Xs0 to 6, Y coordinate: Ys0 to 6) of the acquired subcutaneous fat model image. X ′ component and Y ′ component are added to calculate the moving position of the subcutaneous fat feature point (X ′ coordinate: X′s0 to 6, Y ′ coordinate: Y′s0 to 6). In other words, the movement position of the subcutaneous fat feature point is expressed by the equation: X ′ coordinate is X′sN = XsN + dXsN × total fat area difference (where N = 0 to 6), and Y ′ coordinate is Y′sN = YsN + dYsN × total fat area difference (where N = 0 to 6). Thereby, the movement position of the subcutaneous fat feature point corresponding to the estimated total fat area of the user can be calculated.

  Next, in the subcutaneous fat shape generation step 1312, first, the visceral fat estimation terminal 101 is characterized by the subcutaneous fat model image managed by the abdominal cross section model management unit 125 and the subcutaneous fat model image managed by the model shape data management unit 120. Get the point coordinates. Next, the subcutaneous fat shape creation unit 115 calculates the feature point coordinates of the subcutaneous fat model image (X coordinate: Xs0 to 6, Y coordinate: Ys0 to 6) and the subcutaneous fat feature point movement distance calculation unit 112. From the moving position of fat feature points (X′s0 to 6, Y ′ coordinates: Y′s0 to 6), the left side of the obtained subcutaneous fat model image is deformed by warping to create a left side subcutaneous fat shape. Then, the created left subcutaneous fat shape is copied and inverted to create the right shape, and the subcutaneous fat shape 1500 after the feature point movement is created.

  A specific creation method will be described with reference to the example of FIG. FIG. 15 is an example of a diagram illustrating a method of creating a subcutaneous fat shape from a subcutaneous fat model image. In the upper diagram, the shape 1000 of the subcutaneous fat model image, its feature points 1001 to 1007, and the feature point 303 of the visceral fat model are shown. Further, triangular elements 1011 (triangles having the feature points 303, 1001, and 1002 as vertices) and 1012 (feature points 1002, 1003, and 1004 are used as vertices) composed of the feature points 1001 to 1007 and the feature points 303 of the visceral fat model. (Triangle) 1013 (triangle having feature points 1004, 1005, and 1006 as vertices) and quadrangle element 1014 (rectangle having feature points 1006 and 1007 as vertices of diagonal lines) are shown.

  In the figure below, the subcutaneous fat shape 1500 after the feature point movement, its feature points 1501 to 1507, and the visceral fat feature point 613 after the movement are shown. In addition, triangular elements 1511 (triangles having feature points 613, 1501, 1502 as vertices) 1512 (feature points 1502, 1503, 1504 as vertices) composed of feature points 1501-1507 and visceral fat feature points 613 after movement are used as vertices. ), 1513 (triangles having feature points 1504, 1505, and 1506 as vertices) and square elements 1514 (rectangles having feature points 1506 and 1507 as vertices on diagonal lines). The subcutaneous fat shape creation unit 115 associates the triangular quadrilateral elements 1011 to 1014 of the subcutaneous fat model image with the triangular quadrilateral elements 1511 to 1514 after moving the feature points (specifically, the triangular elements 1011 and 1511, 1012 and 1512). 1013 and 1513 and the quadrilateral elements 1014 and 1514), and color information in the triangular quadrilateral element of the subcutaneous fat model image is mapped into the triangular quadrilateral element after moving the corresponding feature point. Create a fat shape. Thereby, a realistic subcutaneous fat shape corresponding to the estimated total fat area of the user can be created.

  Next, in the abdominal cross-sectional shape generation / display step 1313, first, the visceral fat estimation terminal 101 acquires the spine peripheral tissue model image 320 managed by the abdominal cross-section model management unit 125. Next, the abdominal cross-sectional shape creation unit 105 sets the subcutaneous fat shape 1500 created by the subcutaneous fat shape creation unit 115 to the bottom, the abdominal muscle shape 900 created by the abdominal muscle shape creation unit 109, and the visceral fat shape creation unit 103. The abdominal cross-sectional shape is created by superimposing the visceral fat shape 611 created in step 1 and the acquired spinal peripheral tissue model image in this order, and displayed on the output unit 104 as shown in FIG. Here, since the shape of the tissue around the spine does not change substantially even if the visceral fat or subcutaneous fat changes, the spine peripheral tissue model image is superimposed as it is without being deformed. Further, the user's abdominal circumference input in the user information input step 1302, the visceral fat area estimated value calculated by the visceral fat area estimated value calculating unit 114, and the total fat area calculated by the total fat area estimated value calculating unit 113 The subcutaneous fat area estimated value calculated from the estimated value (= total fat area estimated value−visceral fat area estimated value) is displayed on the output unit 104.

  FIG. 17 is an explanatory diagram illustrating an example of an abdominal cross-sectional shape display screen displayed on the output unit 104 according to the first embodiment of this invention.

  An abdominal cross-sectional shape display screen 1701 includes a subcutaneous fat shape 1500, an abdominal muscle shape 900, a visceral fat shape 611, and a spine peripheral tissue model image 320, a user's abdominal circumference 1702, visceral fat area estimated value 1703, subcutaneous The fat area estimated value 1704 is displayed. Thus, the process ends (1314).

  As described above, in the visceral fat estimation apparatus according to the first embodiment of the present invention, the visceral fat area estimation value calculation unit 114 calculates the visceral fat area estimation value from the user's abdominal circumference, and the visceral fat shape creation unit 103 A visceral fat shape is created from a visceral fat model image reflecting the feature of the shape change of the visceral fat and a movement coefficient of the visceral fat feature point. Thereby, there exists an effect which can produce the realistic visceral fat shape based on a user's visceral fat area estimated value.

  Further, in the visceral fat estimation device according to the first embodiment of the present invention, the total fat area estimation value calculation unit 113 calculates the total fat area estimation value from the user's abdominal circumference, and the subcutaneous fat shape creation unit 115 changes the subcutaneous fat shape change. The shape of the subcutaneous fat is created from the subcutaneous fat model image reflecting the feature and the movement coefficient of the subcutaneous fat feature point. Thereby, there exists an effect which can produce the realistic subcutaneous fat shape based on a user's total fat area estimated value.

  Further, in the visceral fat estimation device according to the first embodiment of the present invention, the abdominal muscle shape creation unit 109 creates abdominal muscle shape by deforming the abdominal muscle model image with a constant area, so that it is realistic to reflect the characteristics of the abdominal muscle shape change. This has the effect of creating an abdominal muscle shape.

  Further, in the visceral fat estimation apparatus according to the first embodiment of the present invention, the abdominal cross-sectional shape creation unit 105 superimposes the created real visceral fat shape, subcutaneous fat shape, abdominal muscle shape, and spine peripheral tissue model image on the abdominal cross-section. Create a shape. Thereby, there exists an effect which can produce realistic abdominal cross-sectional shape reflecting the characteristic of the shape change of each structure | tissue.

  Also, in the visceral fat estimation apparatus according to the first embodiment of the present invention, the visceral fat estimation terminal 101 displays the estimated visceral fat area of the user and the realistic visceral fat shape based on the estimated visceral fat area, so There is an effect that can be conveyed more accurately.

  In the first embodiment, the visceral fat area estimated value and the total fat area estimated value are calculated only from the abdominal circumference, but may be estimated from a plurality of examination values related to the visceral / subcutaneous fat area. By performing multiple regression analysis using the visceral / subcutaneous fat area as an objective variable and a plurality of test values including the abdominal circumference as explanatory variables, an expression that can estimate the visceral / subcutaneous fat area from a plurality of test values including the abdominal circumference can be created. Thereby, there is an effect that the visceral fat area estimated value and the total fat area estimated value can be calculated with high accuracy.

  In the first embodiment, the visceral fat shape is created and displayed based on the estimated visceral fat area calculated from the user's abdominal circumference, but the user has an actual visceral fat area value (no abdominal CT image). With respect to, the value of the visceral fat area may be input by the input unit 102, and the visceral fat shape may be created and displayed based on this value. Thereby, there exists an effect which can produce and display a more accurate visceral fat shape.

  In the first embodiment, the subcutaneous fat shape is created and displayed based on the total fat area estimated value calculated from the user's abdominal circumference, but the actual visceral fat area, the subcutaneous fat area value, and the total fat area value For users who have abdominal CT images (no abdominal CT images), input the value of total fat area (visceral fat area + subcutaneous fat area) with the input unit 102, and create and display the subcutaneous fat shape based on this value Also good. This has the effect of creating and displaying a more accurate subcutaneous fat shape.

  Further, in Example 1 above, the user inputs his abdominal girth, and the abdominal cross-sectional shape is created and displayed from this abdominal girth, but in the electronic medical records and medical examination system databases of medical institutions such as hospitals and medical examination facilities, When the user's abdominal circumference is stored, the visceral fat estimation terminal 101 may extract this abdominal circumference and automatically input it to create and display the abdominal cross-sectional shape. Thereby, there is an effect that the user can save the trouble of inputting the waist circumference by himself / herself. Further, even if the visceral fat estimation terminal 101 takes out the abdominal circumference of a target person (examined person) guided by a medical worker such as a doctor or health nurse at a medical institution from an electronic medical record or a database of a medical examination system and automatically inputs it good. As a result, the abdomen cross-sectional shape of the person being instructed can be visualized realistically, and the visceral fat accumulation state of the person being instructed can be instructed in an easy-to-understand manner.

  A second embodiment of the present invention will be described. In the second embodiment, when two abdominal CT images of a user having different visceral fat areas and subcutaneous fat areas are input, an abdominal cross-sectional model image such as the user's visceral fat model and subcutaneous fat model is created, and the movement coefficient of the feature points A visceral fat estimation device for calculating the above will be described.

  The visceral fat estimation device according to the second embodiment of the present invention includes a CPU, a memory, and a nonvolatile storage medium. The nonvolatile storage medium is, for example, a magnetic disk or a nonvolatile memory, and stores a program for realizing the visceral fat estimation device, a result calculated by the visceral fat estimation device, and the like. The memory expands a program stored in the nonvolatile storage medium. The CPU executes the program expanded in the memory. Processing and operations described below are executed by the CPU.

  FIG. 18 is a block diagram illustrating an example of the configuration of the visceral fat estimation apparatus according to the second embodiment of the present invention. The visceral fat estimation device includes a visceral fat estimation terminal 101 and a database 106. The visceral fat estimation terminal 101 includes an input unit 102, an abdominal cross-sectional shape creation unit 105, a model information creation unit 1801, and an output unit 104.

  The input unit 102 is a mouse and a keyboard. The output unit 104 is a display that displays the result calculated by the visceral fat estimation terminal 101.

  The model information creation unit 1801 includes an abdominal section model creation unit 1802, a model shape data calculation unit 1803, and a movement coefficient calculation unit 1804.

  The abdominal cross-section model creation unit 1802 includes a subcutaneous fat model creation unit 1811, an abdominal muscle model creation unit 1812, a visceral fat model creation unit 1813, and a spinal peripheral tissue model creation unit 1814.

  The subcutaneous fat model creation unit 1811 performs image processing such as edge detection and line detection on the two abdominal CT images of the users having different visceral fat areas and subcutaneous fat areas input by the input unit 102, as shown in FIG. Two such subcutaneous fat model images are created. The abdominal muscle model creation unit 1812 performs image processing such as edge detection and line detection on one of the two abdominal CT images of the user input by the input unit 102, and generates an abdominal muscle model image as shown in FIG. create. The visceral fat model creation unit 1813 performs image processing such as edge detection and line detection on the two abdominal CT images input by the input unit 102, and generates two visceral fat model images as shown in the upper diagram of FIG. create. The spine peripheral tissue model creation unit 1814 performs image processing such as edge detection and line detection on the abdominal CT image used for creating the abdominal muscle model image among the two abdominal CT images input by the input unit 102, A spine peripheral tissue model image as shown in the lower diagram of FIG. 5 is created.

  The model shape data calculation unit 1803 includes a subcutaneous fat model shape data calculation unit 1821, an abdominal muscle model shape data calculation unit 1822, and a visceral fat model shape data calculation unit 1823.

  The subcutaneous fat model shape data calculation unit 1821 sets feature points of subcutaneous fat for the two subcutaneous fat model images created by the subcutaneous fat model creation unit 1811, calculates coordinates thereof, and inputs them using the input unit 102. Image processing is performed on the two abdominal CT images thus obtained, and the total fat area values of the two subcutaneous fat model images are respectively calculated. The abdominal muscle model shape data calculation unit 1822 sets abdominal muscle feature points for the abdominal muscle model image created by the abdominal muscle model creation unit 1812 and calculates its coordinates. The visceral fat model shape data calculation unit 1823 sets the feature points of the visceral fat for the two visceral fat model images created by the visceral fat model creation unit 1813, calculates the coordinates thereof, and inputs them using the input unit 102 Image processing is performed on the two abdominal CT images thus obtained, and the visceral fat area values of the two visceral fat model images are calculated.

  The movement coefficient calculation unit 1804 includes a subcutaneous fat feature point movement coefficient calculation unit 1831 and a visceral fat feature point movement coefficient calculation unit 1832.

  The subcutaneous fat feature point movement coefficient calculation unit 1831 calculates the subcutaneous fat feature points from the feature point coordinates of the two subcutaneous fat model images calculated by the subcutaneous fat model shape data calculation unit 1821 and the total fat area of the two subcutaneous fat model images. The movement coefficient (movement distance per unit total fat area difference) is calculated. The visceral fat feature point movement coefficient calculation unit 1832 calculates the visceral fat feature points from the feature point coordinates of the two visceral fat model images calculated by the visceral fat model shape data calculation unit 1823 and the visceral fat areas of the two visceral fat model images. The movement coefficient (movement distance per unit visceral fat area difference) is calculated.

  The abdominal cross-sectional shape creation unit 105 performs the same processing as that described in the first embodiment, and creates and displays the abdominal cross-sectional shape from the user's abdominal circumference input by the input unit 102.

  The database 106 includes a model shape data management unit 120, a movement coefficient management unit 122, an estimation formula information management unit 123, and an abdominal section model management unit 125.

  The model shape data management unit 120 includes the XY coordinates and visceral fat area values of the feature points of the visceral fat model image calculated by the model shape data calculation unit 1803, the XY coordinates of the feature points of the abdominal muscle model image, and the subcutaneous fat model image. Manage XY coordinates of feature points and total fat area values. The movement coefficient management unit 122 includes a movement coefficient (movement distance per unit visceral fat area difference) calculated by the movement coefficient calculation unit 1804 and a movement coefficient (per unit total fat area difference per subcutaneous fat feature point). Manage travel distance). The estimation formula information management unit 123 manages the visceral fat area estimation formula and the total fat area estimation formula. The abdominal cross section model management unit 125 manages the visceral fat model image, subcutaneous fat model image, abdominal muscle model image, and spine peripheral tissue model image created by the abdominal cross section model creation unit 1802. The database 106 may manage data other than the information described above.

  FIG. 19 is a sequence diagram showing a flow of processing in the visceral fat estimation apparatus according to the second embodiment of the present invention.

  First, in the visceral fat estimation terminal 101, the abdominal cross-section model creation unit 1802 obtains a visceral fat model, a subcutaneous fat model, and the like from two abdominal CT images of users having different visceral fat areas and subcutaneous fat areas input by the input unit 102. An abdominal section model image is created and stored in the abdominal section model management unit 125 of the database 106 (1901). Next, the visceral fat estimation terminal 101 acquires an abdominal cross-section model image such as a visceral fat model and a subcutaneous fat model from the abdominal cross-section model management unit 125 (1902). The model shape data calculation unit 1803 sets feature points for the acquired abdominal section model and calculates its coordinates. The calculated coordinates of feature points such as visceral fat and subcutaneous fat are stored in the model shape data management unit 120 of the database 106 (1903).

  Next, the visceral fat estimation terminal 101 acquires model shape data of visceral fat and subcutaneous fat from the model shape data management unit 120 (1904). The movement coefficient calculation unit 1804 calculates movement coefficients of feature points of visceral fat and subcutaneous fat based on the acquired model shape data. The calculated movement coefficients of the visceral fat and subcutaneous fat feature points are stored in the movement coefficient management unit 122 of the database 106 (1905).

  Next, the visceral fat estimation terminal 101 acquires an abdominal cross-sectional model image, model shape data, and a feature point movement coefficient from the movement coefficient management unit 122 (1906). The abdominal cross-sectional shape creating unit 105 creates an abdominal cross-sectional shape by deforming the abdominal cross-sectional model image based on the user's abdominal circumference input by the input unit 102, the acquired model shape data, and the feature point movement coefficient, 104.

  As described above, the visceral fat estimation apparatus according to the second embodiment of the present invention creates a user's abdominal cross-sectional model image from two abdominal CT images of a user having different visceral fat areas and subcutaneous fat areas, and features thereof. Model shape data such as points, and movement coefficients of feature points are calculated. Thereby, realistic visceral fat and subcutaneous fat shapes reflecting the characteristics of the shape change of the user's abdominal cross section can be created.

  Next, details of the processing in the second embodiment of the present invention will be described using the flowchart of FIG.

  FIG. 20 shows a user's abdominal cross-section model image created from two abdominal CT images of a user with different visceral fat areas and subcutaneous fat areas in Example 2 of the present invention. It is a flowchart which shows an example of the flow of a process which calculates the movement coefficient of.

  When the visceral fat estimation terminal 101 starts processing (2001), an abdominal CT image input step 2002 is performed. Here, two abdominal CT images of a user having different visceral fat areas and subcutaneous fat areas as shown in FIG.

  Next, in the abdominal section model creation step 2003, first, the subcutaneous fat model creation unit 1811 performs image processing such as edge detection and line detection on the two abdominal CT images input by the input unit 102, and FIG. Two subcutaneous fat model images as shown in FIG. Next, the abdominal muscle model creation unit 1812 performs image processing such as edge detection and line detection on one of the two input abdominal CT images to create an abdominal muscle model image as shown in FIG. Also, the visceral fat model creation unit 1813 performs image processing such as edge detection and line detection on the two input abdominal CT images, and creates two visceral fat model images as shown in the upper diagram of FIG. . Further, the spinal peripheral tissue model creation unit 1814 performs image processing such as edge detection and line detection on the abdominal CT image used to create the abdominal muscle model image of the two input abdominal CT images, and FIG. Create a tissue model image around the spine as shown below. The created subcutaneous fat model image, abdominal muscle model image, visceral fat image before and after weight loss, and spine peripheral tissue model image are stored in the abdominal cross-section model management unit 125 of the database 106.

  Next, in the model shape data calculation unit 2004, first, the visceral fat estimation device 101 has two subcutaneous fat model images, abdominal muscle model images, two visceral fat images, and spine peripheral tissues managed by the abdominal cross-section model management unit 125. Get a model image.

  Next, the visceral fat model shape data calculation unit 1823 sets the feature points of the visceral fat with respect to the two acquired visceral fat model images, calculates the coordinates thereof, and the visceral fat area input by the input unit 102 Then, image processing is performed on the two abdominal CT images of the users having different subcutaneous fat areas, and the visceral fat area values of the two visceral fat model images are calculated.

  A specific method for setting visceral fat feature points will be described with reference to FIG. The upper figure is the first visceral fat model image, and the lower figure is the second visceral fat model image. As described above, since visceral fat is substantially symmetrical, visceral fat feature points are set only on the left side. In addition, when analyzing two abdominal CT images (images of the same person) with different visceral fat areas and subcutaneous fat areas, the visceral fat shape is larger on the front side of the body than on the side of the body and does not change on the back side of the body In addition, there is a feature that the shape changes between the rectus abdominis and the external oblique muscle. Therefore, first, the point (back side) 309, the leftmost side point 307, the foremost side (back side of the navel) point 303, the rectus abdominis muscle 202, and the tissue surrounding the spine of the first visceral fat model image At least four intermediate points 305 of the external oblique muscle 203 are set as visceral fat feature points. Next, in order to deform the visceral fat shape more smoothly, tangent lines between the visceral fat feature points 303 and 305 and the visceral fat shape 301 are obtained, and the intersection point 304 is set as the visceral fat feature point. Similarly, the tangent line between the visceral fat feature points 305 and 307 and the visceral fat shape 301 and the tangent line between the visceral fat feature points 307 and 309 and the visceral fat shape 301 are obtained, and the intersection points 306 and 308 are set as the visceral fat feature points. . The same processing is performed for the second visceral fat model image, and visceral fat feature points 613 to 619 of the second visceral fat model image are set. Thereby, the visceral fat feature point reflecting the feature of the user's visceral fat shape and the shape change can be set. Here, in the setting of feature points, visceral fat is almost bilaterally symmetric, so an example of setting visceral fat feature points only on the left side is shown, but not only on the left side but also on the right side, it is set for the whole. May be.

  Next, the abdominal muscle model shape data calculation unit 1822 sets abdominal muscle feature points for the acquired abdominal muscle model image and calculates its coordinates. A specific method for setting the abdominal muscle feature points will be described with reference to the upper diagram of FIG. As described above, since the abdominal muscles are also substantially symmetrical, an abdominal muscle feature point is set only on the left side. In addition, when two abdominal CT images (images of the same person) with different visceral fat areas and subcutaneous fat areas are analyzed, the shape of the abdominal muscles changes with an almost constant area, and the shape of the abdominal muscles changes on the side of the body. It is larger and does not change on the back side of the body. Therefore, first, a point 703 on the leftmost side of the abdominal muscle model image and a point (back side) 705 in contact with the tissue around the spine are set as abdominal muscle feature points. Next, tangent lines between the visceral fat feature points 303 and 305 calculated by the visceral fat model shape data calculation unit 1823 and the abdominal muscle shape 700 are obtained, and the intersection point 701 (front side) is set as an abdominal muscle feature point. The above three points 703, 705, and 701 are set as at least abdominal muscle feature points. Further, in order to deform the abdominal muscle shape more smoothly, the visceral fat feature point 305, the tangent line between the abdominal muscle feature point 703 and the abdominal muscle shape 700 calculated by the visceral fat model shape data calculation unit 1823, the abdominal muscle feature points 703 and 705, and the abdominal muscles A tangent to the shape 700 is obtained, and the intersections 702 and 704 are set as abdominal muscle feature points. Thereby, the abdominal muscle feature point reflecting the feature of the user's abdominal muscle shape and the shape change feature can be set. Here, since the abdominal muscles are almost symmetrical in setting the feature points, an example in which the abdominal muscle feature points are set only on the left side is shown. good.

  Next, the subcutaneous fat model shape data calculation unit 1821 sets feature points of the subcutaneous fat for the two acquired subcutaneous fat model images, calculates the coordinates thereof, and the visceral fat area input by the input unit 102 Then, image processing is performed on two abdominal CT images of users having different subcutaneous fat areas, and the total fat area values of the two subcutaneous fat model images are calculated. A specific method for setting the subcutaneous fat feature points will be described with reference to FIG. The upper figure is the first subcutaneous fat model image, and the lower figure is the second subcutaneous fat model image. As described above, since the subcutaneous fat is substantially symmetrical, a subcutaneous fat feature point is set only on the left side. In addition, when two abdominal CT images (images of the same person) with different visceral fat areas and subcutaneous fat areas are analyzed, the subcutaneous fat shape is characterized by changes in the front and back of the body that are larger than the sides of the body. There is a feature that the back side is dented toward the inside of the body. Therefore, at least four points of the frontmost point 1002, the rearmost point 1006, the leftmost point 1004, and the rear point 1007 of the first subcutaneous fat model image are at least subcutaneous fat feature points. Set as. Next, in order to deform the subcutaneous fat shape more smoothly, the visceral fat feature point 303 calculated by the visceral fat model shape data calculation unit 1823, the tangents of the subcutaneous fat feature point 1001, and the subcutaneous fat shape 1000 are obtained, and the intersections thereof. 1001 is set as the subcutaneous fat feature point. Similarly, the tangent line between the subcutaneous fat feature points 1002 and 1004 and the subcutaneous fat shape 1000 and the tangent line between the subcutaneous fat feature points 1004 and 1006 and the subcutaneous fat shape 1000 are obtained, and the intersection points 1003 and 1005 are set as the subcutaneous fat feature points. . The same process is performed for the second subcutaneous fat model image, and subcutaneous fat feature points 1501 to 1507 of the second subcutaneous fat model image are set. This makes it possible to set subcutaneous fat feature points that reflect the features of the user's subcutaneous fat shape and the shape change. Here, since the subcutaneous fat is almost symmetrical in the setting of the feature points, the example of setting the subcutaneous fat feature points only on the left side is shown, but not only the left side but also the right side is set for the whole. May be.

  The set visceral fat feature points of the two visceral fat model images, the subcutaneous fat feature points of the two subcutaneous fat model images, the coordinates of the abdominal muscle feature points, and the calculated visceral fat areas of the two visceral fat model images, The total fat area of the subcutaneous fat model image is stored in the model shape data management unit 120 of the database 106 and managed as shown in FIGS.

  Next, in the movement coefficient calculation step 2005, first, the visceral fat estimation terminal 101 uses the visceral fat feature points of the two visceral / subcutaneous fat model images managed by the model shape data management unit 120, the coordinates of the subcutaneous fat feature points, and The visceral fat area and the total fat area of two visceral / subcutaneous fat model images are acquired. Next, the visceral fat feature point movement coefficient calculation unit 1832 calculates the movement coefficient of the visceral fat feature points from the coordinates of the visceral fat feature points of the two acquired visceral fat model images and the visceral fat areas of the two visceral fat model images ( The movement distance per unit visceral fat area difference is calculated. A specific calculation method will be described with reference to FIG. The upper figure is the first visceral fat model image, and the lower figure is the second visceral fat model image. First, the visceral fat feature points 303 to 309 of the first visceral fat model image are made to correspond to the visceral fat feature points 613 to 619 of the second visceral fat model image (for example, 303 is 613). The X component and the Y component of the movement distance of the visceral fat feature point are calculated. For example, in the case of the visceral fat feature points 303 and 613, the X coordinate of the visceral fat feature point 303 is X303, the Y coordinate is Y303, the X coordinate of the visceral fat feature point 613 is X613, and the Y coordinate is Y613. The movement distance of the point 303 is X component = X303−X613 and Y component = Y303−Y613. Then, the calculated movement distance for each corresponding feature point is divided by the difference between the visceral fat areas of the two visceral fat model images, and the movement coefficient of each visceral fat feature point (the X component of the movement distance per unit visceral fat area difference). (dXv), Y component (dYv)) is calculated. For example, in the case of visceral fat feature points 303 and 613, if the visceral fat area of the first visceral fat model image is VFA10 and the visceral fat area of the second visceral fat model image is VFA20, The movement coefficients are dXv = (X303−X613) / (VFA10−VFA20) and dYv = (Y303−Y613) / (VFA10−VFA20). Thereby, the movement position of the visceral fat feature point corresponding to the estimated value of the visceral fat area of the user can be calculated.

  Next, the subcutaneous fat feature point movement coefficient calculation unit 1831 calculates the subcutaneous fat feature point movement coefficient (from the coordinates of the subcutaneous fat feature points of the two acquired subcutaneous fat model images and the total fat area of the two subcutaneous fat model images ( Calculate the travel distance per unit total fat area difference). A specific calculation method will be described with reference to FIG. The upper figure is the first subcutaneous fat model image, and the lower figure is the second subcutaneous fat model image. First, the subcutaneous fat feature points 1001 to 1007 of the first subcutaneous fat model image are made to correspond to the subcutaneous fat feature points 1501 to 1507 of the second subcutaneous fat model image (for example, 1001 is 1501). The X component and the Y component of the moving distance of the subcutaneous fat feature point are calculated. For example, in the case of the subcutaneous fat feature points 1001 and 1501, if the X coordinate of the subcutaneous fat feature point 1001 is X1001, the Y coordinate is Y1001, the X coordinate of the subcutaneous fat feature point 1501 is X1501, and the Y coordinate is Y1501, The movement distance of the point 1001 is X component = X1001−X1501, and Y component = Y1001−Y1501. Then, the calculated movement distance for each corresponding feature point is divided by the difference between the total fat areas of the two subcutaneous fat model images, and the movement coefficient of each subcutaneous fat feature point (the X component of the movement distance per unit total fat area difference). (dXs), Y component (dYs)) is calculated. For example, in the case of the subcutaneous fat feature points 1001 and 1501, if the total fat area of the first subcutaneous fat model image is AFA10 and the total fat area of the second subcutaneous fat model image is AFA20, the subcutaneous fat feature point 1001 The movement coefficients are dXv = (X1001−X1501) / (AFA10−AFA20), dYv = (Y1001−Y1501) / (AFA10−AFA20). Thereby, the movement position of the subcutaneous fat feature point corresponding to the estimated total fat area of the user can be calculated.

  The calculated movement coefficients of the visceral fat feature points and the subcutaneous fat feature points are stored in the movement coefficient management unit 122 of the database 106 and managed as shown in FIGS.

  The process ends here (2006).

  Further, the flow of processing for creating and displaying abdominal cross-sectional shapes such as visceral fat shape and subcutaneous fat shape from the abdominal circumference of the user having the following two abdominal CT images is as shown in the flowchart of FIG. 3 described in the first embodiment. It is.

  First, the visceral fat estimation terminal 101 is used to create an abdominal cross-section model image (spine peripheral tissue model image, abdominal muscle model image, and abdominal muscle model image) created by the above processing and managed by the abdominal cross-section model management unit 125. A visceral fat model image and a subcutaneous fat model image created from an abdominal CT image are acquired. Also, the visceral fat estimation terminal 101 calculates the model shape data (abdominal muscle feature point coordinates, abdominal CT image used to create the abdominal muscle model image, which is calculated by the above-described processing and managed by the model shape data management unit 120. Visceral fat area and visceral fat feature point coordinates of fat model image, total fat area and subcutaneous fat feature point coordinates of subcutaneous fat model image). Further, the visceral fat estimation terminal 101 acquires the feature point movement coefficients (movement coefficients of visceral fat feature points, movement coefficients of subcutaneous fat feature points) calculated by the above processing and managed by the movement coefficient management unit 122.

  Next, the visceral fat estimation terminal 101 displays an input screen as shown in FIG. 16 on the output unit 104 and causes the user to input his / her abdominal circumference using the input unit 102. Then, the abdominal cross-sectional shape creation unit 105 creates the abdominal cross-sectional shape by deforming the user's abdominal cross-sectional model image based on the input user's abdominal circumference, the acquired model shape data, and the feature point movement coefficient, and an output unit 104.

  As described above, the visceral fat estimation apparatus according to the second embodiment of the present invention is based on two abdominal CT images of a user having different visceral fat areas and subcutaneous fat areas that are input. Create and calculate the coordinates of the visceral fat feature point and its movement coefficient. Thereby, there exists an effect which can produce the realistic visceral fat shape reflecting the feature of a user's visceral fat shape and shape change.

  In addition, the visceral fat estimation apparatus according to the second embodiment of the present invention creates a subcutaneous fat model image of a user based on the two abdominal CT images of the user with different visceral fat areas and subcutaneous fat areas that are input. The coordinates of the feature point and its movement coefficient are calculated. Thereby, there exists an effect which can create the realistic visceral fat shape reflecting the characteristic of a user's subcutaneous fat shape and shape change.

  Further, the visceral fat estimation device according to the second embodiment of the present invention creates a user's abdominal muscle model image based on the input user's abdominal CT image and calculates the coordinates of the abdominal muscle feature points. Thereby, there is an effect that a realistic abdominal muscle shape reflecting the characteristics of the user's abdominal muscle shape can be created.

  Moreover, the visceral fat estimation apparatus according to the second embodiment of the present invention creates a user's spine peripheral tissue model image based on the input user's abdominal CT image. Accordingly, there is an effect that a realistic spine peripheral tissue shape reflecting the characteristics of the user's spine peripheral tissue shape can be created.

  In addition, the visceral fat estimation apparatus according to the second embodiment of the present invention is based on the two abdominal CT images of users having different visceral fat areas and subcutaneous fat areas, and the user such as the visceral fat model image and the subcutaneous fat model image. An abdominal cross-section model image is created. Thereby, there exists an effect which can create the abdominal cross-sectional shape reflecting the feature of the user's abdominal cross-sectional shape and shape change.

  In addition, the visceral fat estimation apparatus according to the second embodiment of the present invention does not set feature points on the whole using the fact that actual visceral fat, subcutaneous fat, and abdominal muscles are substantially bilaterally symmetrical. It is set. Accordingly, there is an effect that when the visceral fat model image, the subcutaneous fat model image, and the abdominal muscle model image are deformed, they can be deformed with a small amount of calculation.

  In the second embodiment, the visceral fat shape is created and displayed from the user's abdominal circumference. However, for a user who has an actual visceral fat area value (there are two past abdominal CT images, but no present), The fat area value may be input by the input unit 102, and the visceral fat shape may be created and displayed based on this value. Thereby, there exists an effect which can produce and display a more accurate visceral fat shape.

  In the second embodiment, the subcutaneous fat shape is created and displayed from the user's abdominal circumference, but the actual visceral fat area, the value of the subcutaneous fat area, and the value of the total fat area (the past two abdominal CT images are For a user (but not present), a value of total fat area (visceral fat area + subcutaneous fat area) may be input by the input unit 102, and a subcutaneous fat shape may be created and displayed based on this value. . This has the effect of creating and displaying a more accurate subcutaneous fat shape.

  In the second embodiment, a method for creating a user's abdominal cross-section model image from two abdominal CT images of the user and calculating model shape data such as feature point coordinates and a movement coefficient of the visceral / subcutaneous fat feature points is described. As described above, by inputting two standard abdominal CT images having different visceral fat areas and subcutaneous fat areas with the input unit 102, abdominal parts such as a visceral fat standard model image, a subcutaneous fat standard model image, and an abdominal muscle standard model image A cross-sectional standard model image may be created, and standard model shape data such as feature point coordinates, and standard movement coefficients of visceral / subcutaneous fat feature points may be calculated. This process can be calculated by performing the same process as described above (the process shown in the flowchart of FIG. 20). Then, the abdominal cross-sectional shape creation unit 105 transforms the abdominal cross-sectional standard model image based on the input user's abdominal circumference, standard model shape data, and the standard movement coefficient of the visceral / subcutaneous fat feature points to obtain a standard abdominal cross-section A shape may be created and displayed on the output unit 104. In this way, even for users who do not have two abdominal CT images, a standard abdominal cross-sectional shape can be created and displayed from the user's abdominal circumference, and the user's visceral fat accumulation state can be easily understood. There is an effect that can be communicated.

  Further, in Example 2 above, the user's own abdominal circumference is input, and the abdominal cross-sectional shape is created and displayed from this abdominal circumference, but in the electronic medical records and medical examination system databases of medical institutions such as hospitals and medical examination facilities, When the user's abdominal circumference is stored, the visceral fat estimation terminal 101 may extract this abdominal circumference and automatically input it to create and display the abdominal cross-sectional shape. Thereby, there is an effect that the user can save the trouble of inputting the waist circumference by himself / herself. Further, even if the visceral fat estimation terminal 101 takes out the abdominal circumference of a target person (examined person) guided by a medical worker such as a doctor or health nurse at a medical institution from an electronic medical record or a database of a medical examination system and automatically inputs it Good. As a result, the abdomen cross-sectional shape of the person being instructed can be visualized realistically, and the visceral fat accumulation state of the person being instructed can be instructed in an easy-to-understand manner.

  A third embodiment of the present invention will be described. In the third embodiment, a visceral fat estimation device that generates and displays an abdominal cross-sectional shape such as a visceral fat / subcutaneous fat shape before and after weight change when a user's current abdominal circumference and weight change amount are input will be described.

  The visceral fat estimation device according to the third embodiment of the present invention includes a CPU, a memory, and a nonvolatile storage medium. The nonvolatile storage medium is, for example, a magnetic disk or a nonvolatile memory, and stores a program for realizing the visceral fat estimation device, a result calculated by the visceral fat estimation device, and the like. The memory expands a program stored in the nonvolatile storage medium. The CPU executes the program expanded in the memory. Processing and operations described below are executed by the CPU.

  FIG. 21 is a block diagram illustrating an example of the configuration of the visceral fat estimation apparatus according to the third embodiment of the present invention. The visceral fat estimation device includes a visceral fat estimation terminal 101 and a database 106. The visceral fat estimation terminal 101 includes an input unit 102, an abdominal circumference estimated value calculation unit 2101, an abdomen cross-sectional shape creation unit 105, and an output unit 104.

  The input unit 102 is a mouse and a keyboard. The output unit 104 is a display that displays the result calculated by the visceral fat estimation terminal 101. The abdominal circumference estimated value calculation unit 2101 calculates the abdominal circumference estimated value after the weight change from the user's abdominal circumference and the weight change amount input by the input unit 102. The abdominal cross-sectional shape creation unit 105 performs the same processing as that described in the first embodiment, and before and after the weight change from the user's abdominal circumference input by the input unit 102 and the abdominal circumference estimated value calculated by the abdominal circumference estimated value calculation unit 2101 Create and display the abdominal cross-sectional shape.

  Details of the processing in the third embodiment of the present invention will be described with reference to the flowchart of FIG. 22 and FIG. FIG. 22 is a flowchart illustrating an example of a flow of processing from when the user's abdominal circumference and weight change amount are input from the input unit 102 until the abdominal cross-sectional shape before and after the weight change is displayed.

  FIG. 23 is a diagram illustrating an example of the estimation formula information of the third embodiment managed by the estimation formula information management unit 123. A visceral fat area estimation formula 1401 and a total fat area estimation formula 1402 for calculating a visceral fat area estimation value and a total fat area estimation value by inputting the user's abdominal circumference are managed. Also, the abdominal girth estimation formula 2301 for calculating the estimated abdominal girth after the weight change by inputting the user's current abdominal girth and weight change amount is managed. The abdominal circumference estimation formula can be created by regression analysis of a large amount of abdominal circumference change and body weight change. Thus, the estimated waist circumference value after the weight change can be calculated from the user's waist circumference and the weight change amount, and further, the visceral fat area estimated value after the weight change and the total fat are calculated based on the estimated waist circumference value after the weight change. An area estimate can be calculated.

  When the abdominal circumference estimation terminal 101 according to the third embodiment starts processing (2201), a user information input step 2202 is performed. Here, the visceral fat estimation terminal 101 displays a screen for inputting user information as shown in FIG. 24 on the output unit 104.

  FIG. 24 is an explanatory diagram illustrating an example of an input screen displayed on the output unit 104 according to the third embodiment of this invention. The user information input screen 2401 displays an abdominal circumference input field 1602, a weight input field 2402, and an execution button 1603 for determining input of user information.

  The visceral fat estimation terminal 101 causes the user to measure the abdominal circumference with a measure or the like, and causes the user to input the abdominal circumference input field 1602 using the mouse or keyboard of the input unit 102. In addition, the weight of the user is measured with a scale, and input to the weight input field 2402 using the mouse or keyboard of the input unit 102. When the input is completed, the user is instructed to operate the execution button 1603.

  Next, in the current abdominal cross-sectional shape generation / display step 2203, the abdominal cross-sectional shape creation unit 105 performs the same processing as that described in the first embodiment, and the current abdominal cross-section from the user's abdominal circumference input by the input unit 102. A shape is created and displayed on the output unit 104 as shown in FIG.

  FIG. 25 is an example of a visceral fat simulation screen displayed on the output unit 104 according to the third embodiment of the present invention, and is an explanatory diagram illustrating a state before weight change.

  The visceral fat simulation screen 2501 in FIG. 25 shows the current abdominal cross-sectional shape 2504 and the current visceral fat-related numerical value 2502 (weight, abdominal circumference, visceral fat area estimated value, subcutaneous fat area estimated value) on the left side, The cross-sectional shape 2505 and the visceral fat-related numerical values 2503 (weight, abdominal circumference estimated value, visceral fat area estimated value, subcutaneous fat area estimated value) after weight change are displayed on the right side. Also, a weight change amount input bar 2506 is displayed. Since it is before weight change input (weight change 0 kg), the visceral fat related value 2503 after the weight change becomes the same value as the current visceral fat related value 2502, and the abdominal cross-sectional shape 2505 after the weight change is also present This is the same shape as the abdominal cross-sectional shape 2504. In the example of this screen, an example in which a body weight of 80 kg and an abdominal circumference of 88 cm is input on the input screen 2401 is shown.

  Next, in a weight change input step 2204, the user is made to input the weight change using the weight change input bar 2506 of the visceral fat simulation screen 2501 displayed on the output unit 104.

  Next, in the abdominal circumference estimated value calculation step 2205, first, the visceral fat estimation terminal 101 acquires an abdominal circumference estimation formula 2301 managed by the estimation formula information management unit 123. Next, the abdominal circumference estimated value calculation unit 2101 substitutes the current abdominal circumference of the user input in the user information input step and the weight change amount input in the weight change amount input step 2204 into the abdominal circumference estimation formula 2301, The estimated waist circumference is calculated.

  Next, in the abdominal cross-sectional shape generation / display step 2206 after the weight change, the abdominal cross-sectional shape creation unit 105 performs the same processing as that described in the first embodiment, and the weight change calculated by the abdominal circumference estimated value calculation unit 2101 The abdominal cross-sectional shape after the weight change is created from the estimated abdominal circumference estimated value and displayed on the output unit 104 as shown in FIG.

  FIG. 26 is an example of a visceral fat simulation screen displayed on the output unit 104 according to the third embodiment of the present invention, and is an explanatory diagram illustrating a state after a weight change.

  In the visceral fat simulation screen 2601 of FIG. 26, the abdominal cross-sectional shape 2505 after the weight change and the visceral fat related values 2503 after the weight change (weight, abdominal circumference estimated value, visceral fat area estimated value, subcutaneous fat area estimated value) are on the right side. indicate. The example of this screen shows an example in which the weight change amount is input as -10 kg.

  As described above, in the visceral fat estimation device according to the third embodiment of the present invention, the abdominal cross-sectional shape creation unit 105 displays realistically the abdominal cross-sectional shapes such as the visceral fat shape and the subcutaneous fat shape before and after weight change. There is an effect that the visceral fat accumulation state accompanying the weight loss of the user can be easily communicated.

  In the third embodiment, the example of displaying the abdominal cross-sectional shape before and after the weight change has been described. However, as shown in FIGS. 27 and 28, the abdominal cross-sectional shape before and after the weight change is displayed together with the human body model 2702, In accordance with the change, the three-dimensional structure 2703 such as the width of the belly and the appearance of the human body model diagram may be changed.

  27 and 28 are examples of a visceral fat simulation screen displaying a human body model diagram, FIG. 27 shows a state before the weight change amount input, and FIG. 28 shows a state after the weight change amount input. . In this example, FIG. 27 shows a fat human model before weight loss, and FIG. 28 shows a thin human model after weight loss.

  By displaying in this way, there is an effect that the visceral fat accumulation state of the user can be conveyed in an easy-to-understand manner.

In the third embodiment, the method of creating and displaying the abdominal cross-sectional shape before and after the weight change by first allowing the user to input his abdominal circumference and weight, and then inputting the weight change amount has been described. When the user's abdominal circumference and body weight are stored in the electronic medical record of a medical institution such as a hospital or a medical examination facility or the database of the medical examination system, the visceral fat estimation terminal 101 takes out the abdominal circumference and weight and automatically inputs them. The abdominal cross-sectional shape before and after the weight change may be created and displayed only by allowing the user to input the weight change amount. Thereby, there is an effect that the user can save the trouble of inputting the waist circumference and weight by himself. In addition, the visceral fat estimation terminal 101 automatically extracts and inputs the abdominal circumference and weight of a subject (examined person) guided by medical personnel such as doctors and health nurses of medical institutions from a database of an electronic medical record or a medical examination system. The medical staff may be supported to input the weight change amount (weight loss target value) of the guidance subject. This enables visualization of the current abdominal cross-sectional shape of the person being instructed and the weight after weight loss, and medical personnel such as medical doctors and health nurses improve visceral fat-type obesity (visceral fat area of 100 cm ² or more) It has the effect of giving effective weight loss guidance to reduce visceral fat, such as giving guidance by showing the amount of weight loss necessary to do.

  Embodiment 4 of the present invention will be described. In the fourth embodiment, a visceral fat estimation device used when the user records and manages the weight daily by the system in order to reduce the weight will be described. More specifically, a visceral fat estimation device that generates and displays the current abdominal cross-sectional shape at the start of weight reduction from the weight, abdominal circumference, and current weight at the start of weight reduction will be described.

  The visceral fat estimation apparatus according to the fourth embodiment of the present invention adds a weight change amount calculation unit to the visceral fat estimation terminal 101 of the visceral fat estimation apparatus according to the third embodiment of the present invention shown in FIG. This can be realized by adding a management section and a waist circumference management section at the start of weight loss.

  A specific processing flow will be described.

First, the visceral fat estimation terminal 101 displays a user information input screen as shown in FIG. 24 on the output unit 104 and allows the user to input the weight and abdominal circumference at the start of weight loss with the input unit 102. The input weight at the start of weight loss is stored in the daily weight management unit, and the input abdominal circumference at the start of weight loss is stored in the weight reduction start abdominal circumference management unit.
Next, the visceral fat estimation terminal 101 displays a weight recording screen as shown in FIG. 29 on the output unit 104 every day.

  FIG. 29 is an explanatory diagram showing an example of a weight recording screen 2901 for inputting the daily weight of the user. The weight record screen 2901 is a weight transition graph 2902 from the user's weight loss start time to the present, a date input field 2903, a weight input field 2904, a button 2905 for transitioning to a visceral fat simulation screen, and a button for confirming daily weight input. 2906 is displayed.

  The visceral fat estimation terminal 101 allows the user to input the date and weight in the date input field 2903 and the weight input field 2904 respectively by the input unit 102 and supports the input confirm button 2906 to be pressed when the input is confirmed. When the input confirmation button 2903 is pressed, the input weight is reflected in the weight transition graph 2902 and stored together with the date in the daily weight management unit.

  Next, the visceral fat estimation terminal 101 supports the user to press the visceral fat simulation screen transition button 2905. When the visceral fat simulation screen transition button 2905 is pressed, the visceral fat estimation terminal 101 is first managed by the weight loss start weight and current weight managed by the daily weight management unit, and the weight loss start abdominal circumference management unit. Get waist circumference at the start of weight loss. Next, a weight change amount that is a difference between the weight at the start of weight loss acquired by the weight change amount calculation unit and the current weight is calculated. Then, the abdominal circumference estimated value calculation unit 2101 performs the same process as that described in the third embodiment, and obtains the current abdominal circumference estimated value from the weight change amount calculated by the weight change amount calculation unit and the acquired waist circumference at the start of weight loss. calculate.

  Next, the abdominal cross-sectional shape creation unit 105 performs the same processing as that described in the first embodiment, creates the abdominal cross-sectional shape at the start of weight reduction from the acquired abdominal circumference at the start of weight reduction, and further calculates the abdominal circumference estimated value calculation unit The current abdominal cross-sectional shape is created from the current abdominal circumference estimated value calculated in 2101. Then, as in the visceral fat simulation screen of FIG. 26 or FIG.

  As described above, the visceral fat estimation device according to the fourth embodiment of the present invention can realistically create and display the start of weight loss and the current abdominal cross-sectional shape, so that the user can grasp the visceral fat accumulation state accompanying weight loss daily. It is possible to perform an effective diet that reduces visceral fat.

In the fourth embodiment, the abdominal cross-sectional shape creating unit 105 creates the current abdominal cross-sectional shape from the current abdominal circumference estimated value calculated by the abdominal circumference estimated value calculating unit 2101. If present, the current abdominal cross-sectional shape may be created from the user's actual current abdominal circumference. Thereby, there exists an effect which can create a more accurate abdominal cross-sectional shape.

1 is a block diagram illustrating an example of a configuration of a visceral fat estimation device in Embodiment 1. FIG. Explanatory drawing which shows an example of an abdominal CT image. The flowchart which shows an example of the flow of a process from a user's abdominal circumference input in Example 1 to abdominal cross-sectional shape display. FIG. 6 is an explanatory diagram illustrating an example of estimation formula information managed by the estimation formula information management unit according to the first embodiment. Explanatory drawing which shows an example of the visceral fat model image and spine surrounding tissue model image managed by the abdominal cross-section model management unit. Explanatory drawing which shows an example of the shape data of the visceral fat model managed by the model shape data management part. Explanatory drawing which shows an example of the movement coefficient of the visceral fat feature point managed by the movement coefficient management part. Explanatory drawing which shows an example of the method of creating a visceral fat shape from a visceral fat model image. Explanatory drawing which shows an example of the abdominal muscle model image managed by the abdominal section model management part. Explanatory drawing which shows an example of the shape data of the abdominal muscle model managed by a model shape data management part. Explanatory drawing which shows an example of the method of creating an abdominal muscle shape from an abdominal muscle model image. Explanatory drawing which shows an example of the subcutaneous fat model image managed by the abdominal section model management part. Explanatory drawing which shows an example of the shape data of the subcutaneous fat model managed by the model shape data management part. Explanatory drawing which shows an example of the movement coefficient of the subcutaneous fat feature point managed by the movement coefficient management part. Explanatory drawing which shows an example of the method of creating a subcutaneous fat shape from a subcutaneous fat model image. FIG. 6 is an explanatory diagram illustrating an example of a user information input screen displayed on the output unit according to the first embodiment. Explanatory drawing which shows an example of the abdominal cross-sectional shape display screen displayed on the output part of Example 1. FIG. The block diagram which shows an example of a structure of the visceral fat estimation apparatus in Example 2. FIG. The sequence diagram which shows the flow of a process of the visceral fat estimation apparatus in Example 2. FIG. 9 is a flowchart illustrating an example of a processing flow from input of two abdominal CT images to creation of an abdominal cross-sectional model and calculation of a feature point movement coefficient in the second embodiment. FIG. 9 is a block diagram illustrating an example of a configuration of a visceral fat estimation device according to a third embodiment. 10 is a flowchart illustrating an example of a flow of processing from a user's waist circumference / weight change input to abdominal cross-sectional shape display before and after weight change in the third embodiment. Explanatory drawing which shows an example of the estimation formula information managed by the estimation formula information management part of Example 3. FIG. Explanatory drawing which shows an example of the user information input screen displayed on the output part of Example 3. FIG. It is explanatory drawing which shows an example of the visceral fat simulation screen displayed on the output part of Example 3, and is a figure which shows the state before weight change amount input. It is explanatory drawing which shows an example of the visceral fat simulation screen displayed on the output part of Example 3, and is a figure which shows the state after weight change amount input. It is explanatory drawing which shows an example of the visceral fat simulation screen displayed on the output part of Example 3, and explanatory drawing of the screen which displays the state before a weight change amount input with a human body model figure. It is explanatory drawing which shows an example of the visceral fat simulation screen displayed on the output part of Example 3, and is explanatory drawing of the screen which displays the state after a weight change amount input with a human body model figure. Explanatory drawing which shows an example of the weight recording screen displayed on the output part of Example 4. FIG.

Explanation of symbols

101 Visceral Fat Estimation Terminal 102 Input Unit 103 Visceral Fat Shape Creation Unit 104 Output Unit 105 Abdominal Cross Section Shape Creation Unit 106 Database 107 Visceral Fat Area Difference Calculation Unit 108 Visceral Fat Feature Point Movement Distance Calculation Unit 109 Abdominal Muscle Shape Creation Unit 110 Abdominal Muscle Feature Point Movement position calculation unit 111 Total fat area difference calculation unit 112 Subcutaneous fat feature point movement distance calculation unit 113 Total fat area estimation value calculation unit 114 Visceral fat area estimation value calculation unit 115 Subcutaneous fat shape creation unit 120 Model shape data management unit 122 Coefficient management unit 123 Estimation formula information management unit 125 Abdominal cross-section model management unit 201 Subcutaneous fat in abdominal CT image 202 Abdominal rectus muscle 203 in abdominal CT image External abdominal oblique muscle 204 in abdominal CT image Visceral fat in abdominal CT image 205 Abdominal CT image Large psoas muscle / vertebral column standing muscle 206 spine 207 of abdominal CT image vena cava / aorta 21 of abdominal CT image 1 Abdominal CT Image Subcutaneous Fat 212 Abdominal CT Image Rectus Abdominis Muscle 213 Abdominal CT Image External Abdominal Oblique Muscle 214 Abdominal CT Image Visceral Fat 215 Abdominal CT Image Abdominal CT / Spine Standing Muscle 216 Abdominal CT Image Spine 217 Abdominal CT image vena cava / aorta 301 Visceral fat shape 302 of visceral fat model Spine center point 303-309 Visceral fat feature point 320 Spine peripheral tissue model image 401 Visceral fat feature point 402 Visceral fat feature point X coordinate 403 Visceral fat Y coordinate 404 of feature point Visceral fat area value 502 of visceral fat model Movement coefficient (X component) of visceral fat feature point
503 Visceral fat feature point transfer coefficient (Y component)
611 Visceral fat shape 613-619 after moving feature points Visceral fat feature points after moving
623-625 Visceral Fat Model Triangular Elements 633-635 Triangular Elements 700 After Visceral Fat Feature Point Movement Abdominal Muscle Model Image Abdominal Muscle Shapes 701-705 Abdominal Muscle Feature Points 711-714 Abdominal Muscle Model Image Rectangle 721-723 Abdominal Muscle Model Image Triangle Element 801 Abdominal muscle feature point 802 Abdominal muscle feature point X-coordinate 803 Abdominal muscle feature point Y-coordinate 900 Abdominal muscle shape 901-905 after moving feature point Abdominal muscle feature points 911-914 after moving rectangle 921-923 after moving the abdominal muscle feature point Triangular element 1000 after moving abdominal muscle feature point Subcutaneous fat shape 1001 to 1007 of subcutaneous fat model image Triangular square element 1101 of subcutaneous fat model image Subcutaneous fat feature point 1102 X coordinate 1103 of subcutaneous fat feature point Y coordinate 1104 of fat feature point Total fat of subcutaneous fat model Transfer coefficient of the product value 1202 subcutaneous fat feature point (X component)
1203 Subcutaneous fat feature point transfer coefficient (Y component)
1302 User information input step 1303 Visceral fat area estimated value calculating step 1304 Visceral fat area difference calculating step 1305 Visceral fat feature point moving distance calculating step 1306 Visceral fat shape generating step 1307 Abdominal muscle feature point moving position calculating step 1308 Abdominal muscle shape generating step 1309 All Fat area estimation value calculation step 1310 Total fat area difference calculation step 1311 Subcutaneous fat feature point moving distance calculation step 1312 Subcutaneous fat shape generation step 1313 Abdominal cross-sectional shape generation / display step 1401 Visceral fat area estimation formula 1402 Total fat area estimation formula 1500 Subcutaneous fat shape 1511 to 1514 after moving the point Triangular quadrilateral element 1601 after moving the subcutaneous fat feature point User information input screen 1602 Abdominal circumference input field 1603 Execution button 1701 Abdominal cross-sectional shape display screen 1 02 Abdominal circumference 1703 Visceral fat area estimated value 1704 Subcutaneous fat area estimated value 1801 Model information creating unit 1802 Abdominal cross section model creating unit 1803 Model shape data creating unit 1804 Movement coefficient calculating unit 1811 Subcutaneous fat model creating unit 1812 Abdominal muscle model creating unit 1813 Visceral fat Model creation unit 1814 Spine peripheral tissue model creation unit 1821 Subcutaneous fat model shape data creation unit 1822 Abdominal muscle model shape data creation unit 1823 Visceral fat model shape data creation unit 1831 Subcutaneous fat feature point movement coefficient calculation unit 1832 Visceral fat feature point movement coefficient calculation Part 1901 Abdominal section model registration 1902 Abdominal section model acquisition 1903 Model shape data registration 1904 Model shape data acquisition 1905 Movement coefficient registration 1906 Abdominal section model, model shape data, movement coefficient acquisition 2002 CT image input step 2003 abdomen sectional model building step 2004 model shape data calculation step 2005 transfer coefficient calculation step 2101 abdominal girth estimate calculation unit 2202 user information input step (Example 3)
2203 Current Abdominal Section Shape Generation / Display Step 2204 Weight Change Input Step 2205 Abdominal Circumference Estimated Value Calculation Step 2206 Abdominal Section Shape Generation / Display Step 2301 Abdominal Circumference Estimation Formula 2401 User Information Input Screen (Example 3)
2402 Body weight entry field 2501 Visceral fat simulation screen (before weight change input)
2502 Current visceral fat related value 2503 Visceral fat related value after weight change 2504 Current abdominal cross-sectional shape 2505 Abdominal cross-sectional shape 2506 after weight change Weight change input bar 2601 Visceral fat simulation screen (after weight change input)
2701 Visceral fat simulation screen displaying a human body model (before input of weight change)
2702 Human body model 2703 Abdominal 3D structure 2801 of human body model Visceral fat simulation screen displaying human body model (after input of weight change)
2901 Weight record screen 2902 Weight transition graph 2903 Date input field 2904 Weight input field 2905 Visceral fat simulation screen transition button 2906 Input confirmation button

Claims (20)

A visceral fat estimation device that creates an abdominal cross-sectional shape such as a user's visceral fat shape or subcutaneous fat shape,
An input unit for inputting at least the user's waist circumference;
Visceral fat area estimation formula for calculating an estimated value of visceral fat area from the user's abdominal circumference, visceral fat model image, coordinates of visceral fat feature points of the visceral fat model image, and visceral fat of the visceral fat model image A database in which the area and the movement distance per unit visceral fat area difference of the visceral fat feature points of the visceral fat model image are stored;
The visceral fat estimation device substitutes the input user's abdominal circumference into the visceral fat area estimation formula, and calculates a visceral fat area estimation value; and a visceral fat area estimation value calculation unit;
A visceral fat area difference calculating unit for calculating a visceral fat area difference which is a difference between the visceral fat area estimated value and the visceral fat area of the visceral fat model image;
The movement distance of the visceral fat feature point of the visceral fat model image is calculated from the movement distance per unit visceral fat area difference of the visceral fat feature image and the visceral fat feature point of the visceral fat model image. A visceral fat feature point moving distance calculation unit that calculates the moving position of the visceral fat feature point from the coordinates of the visceral fat feature point and the moving distance of the visceral fat feature point of the visceral fat model image;
A visceral fat estimation apparatus comprising: a visceral fat shape creation unit that deforms the visceral fat model image based on the movement position of the visceral fat feature points to create the visceral fat shape. The visceral fat estimation apparatus according to claim 1, comprising a database storing abdominal muscle model images and coordinates of abdominal muscle feature points of the abdominal muscle model images,
The visceral fat estimation device uses the coordinates of the visceral fat feature point of the visceral fat model image, the coordinates of the abdominal muscle feature point of the abdominal muscle model image, and the movement position of the visceral fat feature point to determine the abdominal muscle feature point of the abdominal muscle model image. An abdominal muscle feature point movement position calculation unit for calculating the movement position of
A visceral fat estimation apparatus comprising: an abdominal muscle shape creation unit that deforms the abdominal muscle model image based on the movement position of the abdominal muscle feature point and the movement position of the visceral fat feature point to create an abdominal muscle shape. The visceral fat estimation apparatus according to claim 1 or 2, wherein a total fat area estimation formula for calculating a total fat area estimation value from the user's abdominal circumference, a subcutaneous fat model image, and a subcutaneous fat of the subcutaneous fat model image A database in which coordinates of feature points, a total fat area of the subcutaneous fat model image, and a moving distance per unit total fat area difference of the subcutaneous fat feature points of the subcutaneous fat model image are stored;
The visceral fat estimation device substitutes the input abdominal circumference of the user into the total fat area estimation formula, and calculates a total fat area estimation value;
A total fat area difference calculating unit for calculating a total fat area difference which is a difference between the total fat area estimated value and the total fat area of the subcutaneous fat model image;
The movement distance of the subcutaneous fat feature point of the subcutaneous fat model image is calculated from the movement distance per unit total fat area difference of the total fat area difference and the subcutaneous fat feature point of the subcutaneous fat model image. A subcutaneous fat feature point moving distance calculating unit that calculates a moving position of the subcutaneous fat feature point from the coordinates of the subcutaneous fat feature point and the moving distance of the subcutaneous fat feature point of the subcutaneous fat model image;
A visceral organ comprising a subcutaneous fat shape creation unit that deforms the subcutaneous fat model image and creates the subcutaneous fat shape based on the movement position of the subcutaneous fat feature point and the movement position of the visceral fat feature point Fat estimation device. The visceral fat estimation device according to claim 3, comprising a database storing a spinal peripheral tissue model image including the spine, psoas major, spine erectus, vena cava, aorta,
The subcutaneous fat shape created by the subcutaneous fat shape creation unit, the abdominal muscle shape created by the abdominal muscle shape creation unit, the visceral fat shape created by the visceral fat shape creation unit, and the peripheral tissue of the spine A visceral fat estimation device comprising: an abdominal cross-sectional shape creating unit that superimposes model images to create the abdominal cross-sectional shape.   4. The visceral fat estimation apparatus according to claim 1, wherein the visceral fat area estimated value calculated by the visceral fat area estimated value calculation unit and the visceral fat shape created by the visceral fat shape creating unit are determined. A visceral fat estimation device comprising a display unit for displaying at least.   5. The display of visceral fat estimation apparatus according to claim 4, wherein at least the visceral fat area estimated value calculated by the visceral fat area estimated value calculating unit and the abdominal cross-sectional shape created by the abdominal cross-sectional shape creating unit are displayed. A visceral fat estimation device comprising: a unit.   5. The visceral fat estimation apparatus according to claim 1, 2, 3, 4, wherein the visceral fat model image, the subcutaneous fat model image, the abdominal muscle model image, and the spine peripheral tissue model image are input to the input unit. A visceral fat estimation apparatus comprising an abdominal cross-section model image creation unit that is created by performing image processing such as edge extraction and line extraction on two abdominal CT images having different visceral fat areas and subcutaneous fat areas.   2. The visceral fat estimation device according to claim 1, wherein the coordinates of the visceral fat feature point of the visceral fat model image are a frontmost point of the visceral fat model image and a leftmost point of the visceral fat model image. A visceral fat model to be calculated by setting a contact point between the visceral fat model image and the spine peripheral tissue model image and an intermediate point between the rectus abdominis muscle and the external oblique muscle of the abdominal muscle model image as at least the visceral fat feature points A visceral fat estimation device comprising a shape data calculation unit.   3. The visceral fat estimation apparatus according to claim 2, wherein the coordinates of the abdominal muscle feature point of the abdominal muscle model image are a point on the leftmost side of the abdominal muscle model image, and a contact point between the abdominal muscle model image and the spinal peripheral tissue model image. A visceral fat estimation device comprising: an abdominal muscle model shape data calculation unit that calculates by setting at least the abdominal muscle feature points.   4. The visceral fat estimation device according to claim 3, wherein the coordinates of the subcutaneous fat feature point of the subcutaneous fat model image are a frontmost point of the subcutaneous fat model image and a leftmost point of the subcutaneous fat model image. A subcutaneous fat model shape data calculation unit for calculating by setting at least a point on the most back side of the subcutaneous fat model image and a point on the back side of the spine of the subcutaneous fat model image as the subcutaneous fat feature point. A visceral fat estimation device.   2. The visceral fat estimation apparatus according to claim 1, wherein a movement distance per unit visceral fat area difference of visceral fat feature points of the visceral fat model image is calculated from the two abdominal CT images input to the input unit. Visceral fat feature point movement calculated from the coordinates of the visceral fat feature points of the two visceral fat models and the visceral fat area of the two visceral fat model images calculated from the two abdominal CT images input to the input unit A visceral fat estimation device comprising a coefficient calculation unit.   4. The visceral fat estimation apparatus according to claim 3, wherein a movement distance per unit fat total area difference of the subcutaneous fat feature point of the subcutaneous fat model image is calculated from the two abdominal CT images input to the input unit. Subcutaneous fat feature point movement coefficient calculated from the coordinates of the subcutaneous fat feature points of the two subcutaneous fat models and the total fat area of the two subcutaneous fat model images calculated from the two abdominal CT images input to the input unit A visceral fat estimation device comprising a calculation unit. A visceral fat estimation device that creates an abdominal cross-sectional shape such as a user's visceral fat shape or subcutaneous fat shape,
An input unit for inputting at least a user's current waist circumference and weight change amount;
Abdominal circumference estimation formula for calculating an estimated abdominal circumference value after weight change from the current abdominal circumference of the user and the weight change amount, and a visceral fat area estimation formula for calculating an estimated visceral fat area value from the estimated abdominal circumference value after the weight change Visceral fat model image, the coordinates of the visceral fat feature point of the visceral fat model image, the visceral fat area of the visceral fat model image, and the unit visceral fat area difference of the visceral fat feature point of the visceral fat model image It has a database that stores the travel distance of
The visceral fat estimation device substitutes the inputted current abdominal circumference of the user and the weight change amount into the abdominal circumference estimation formula, and calculates an abdominal circumference estimated value after the weight change,
Substituting the abdominal circumference estimated value after the weight change into the visceral fat area estimation formula, a visceral fat area estimated value calculating unit for calculating the visceral fat area estimated value;
A visceral fat area difference calculating unit for calculating a visceral fat area difference which is a difference between the visceral fat area estimated value and the visceral fat area of the visceral fat model image;
The movement distance of the visceral fat feature point of the visceral fat model image is calculated from the movement distance per unit visceral fat area difference of the visceral fat feature image and the visceral fat feature point of the visceral fat model image. A visceral fat feature point moving distance calculation unit that calculates the moving position of the visceral fat feature point from the coordinates of the visceral fat feature point and the moving distance of the visceral fat feature point of the visceral fat model image;
A visceral fat estimation apparatus comprising: a visceral fat shape creation unit that deforms the visceral fat model image based on the movement position of the visceral fat feature points to create the visceral fat shape after weight change. The visceral fat estimation device according to claim 13, comprising a database storing abdominal muscle model images and abdominal muscle feature point coordinates of the abdominal muscle model images,
The visceral fat estimation device uses the coordinates of the visceral fat feature point of the visceral fat model image, the coordinates of the abdominal muscle feature point of the abdominal muscle model image, and the movement position of the visceral fat feature point to determine the abdominal muscle feature point of the abdominal muscle model image. An abdominal muscle feature point movement position calculation unit for calculating the movement position of
Visceral fat comprising an abdominal muscle shape creation unit that deforms the abdominal muscle model image based on the movement position of the abdominal muscle feature point and the movement position of the visceral fat feature point to create an abdominal muscle shape after weight change Estimating device. 15. The visceral fat estimation apparatus according to claim 13, 14, a total fat area estimation formula for calculating a total fat area estimated value from the abdominal circumference estimated value after the weight change, a subcutaneous fat model image, and the subcutaneous fat model A database storing the coordinates of the subcutaneous fat feature points of the image, the total fat area of the subcutaneous fat model image, and the moving distance per unit total fat area difference of the subcutaneous fat feature points of the subcutaneous fat model image;
The visceral fat estimation device substitutes the abdominal circumference estimated value after the weight change into the total fat area estimation formula, and calculates the total fat area estimated value;
A total fat area difference calculating unit for calculating a total fat area difference which is a difference between the total fat area estimated value and the total fat area of the subcutaneous fat model image;
The movement distance of the subcutaneous fat feature point of the subcutaneous fat model image is calculated from the movement distance per unit total fat area difference of the total fat area difference and the subcutaneous fat feature point of the subcutaneous fat model image. A subcutaneous fat feature point moving distance calculating unit that calculates a moving position of the subcutaneous fat feature point from the coordinates of the subcutaneous fat feature point and the moving distance of the subcutaneous fat feature point of the subcutaneous fat model image;
A subcutaneous fat shape creation unit that deforms the subcutaneous fat model image based on the movement position of the subcutaneous fat feature point and the movement position of the visceral fat feature point and creates the subcutaneous fat shape after weight change; A visceral fat estimation device. The visceral fat estimation device according to claim 15, comprising a database storing a spine peripheral tissue model image including a spine, a psoas major, a spine standing muscle, a vena cava, and an aorta,
The subcutaneous fat shape after the weight change created by the subcutaneous fat shape creation unit, the abdominal muscle shape after the weight change created by the abdominal muscle shape creation unit, and the weight created by the visceral fat shape creation unit An apparatus for estimating visceral fat, comprising: an abdominal cross-sectional shape creating unit that creates the abdominal cross-sectional shape after weight change by superimposing the changed visceral fat shape and the spinal peripheral tissue model image.   16. The visceral fat estimation device according to claim 13, 14, or 15, wherein the visceral fat area estimated value calculated from the abdominal circumference estimated value after the weight change and the weight changed after the weight change created by the visceral fat shape creation unit A visceral fat estimation apparatus comprising a display unit that displays at least a visceral fat shape.   The visceral fat estimation apparatus according to claim 16, wherein the visceral fat area estimated value calculated from the abdominal circumference estimated value after the weight change and the abdominal cross-sectional shape after the weight change created by the abdominal cross-sectional shape creating unit A visceral fat estimation device comprising a display unit for displaying at least.   16. The visceral fat estimation device according to claim 13, 14, or 15, wherein the visceral fat area estimated value calculated from the abdominal circumference estimated value after the weight change and a visceral fat calculated from the current abdominal circumference of the user input to the input unit. Display that displays at least the fat area estimated value, the visceral fat shape after the weight change created by the visceral fat shape creation unit, and the current visceral fat shape created from the current abdominal circumference of the user input to the input unit A visceral fat estimation device comprising: a unit.   17. The visceral fat estimation apparatus according to claim 16, wherein the visceral fat area estimated value calculated from the abdominal circumference estimated value after the weight change and a visceral fat area estimated value calculated from the current abdominal circumference of the user input to the input unit. And a display unit for displaying at least the abdominal cross-sectional shape after the weight change created by the abdominal cross-sectional shape creating unit and the current abdominal cross-sectional shape created from the current abdominal circumference of the user input to the input unit. A visceral fat estimation device characterized by the above.

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