JP7032111B2 - Medical image processing equipment, X-ray CT equipment and medical image processing program - Google Patents

Description

Embodiments of the present invention relate to a medical image processing apparatus, an X-ray CT apparatus, and a medical image processing program.

Conventionally, it is known that the causes of ischemic diseases of organs are roughly classified into blood circulation disorders and dysfunctions of organs themselves. For example, stenosis, which is an example of coronary artery blood circulation disorder, is a serious lesion leading to ischemic heart disease. In such ischemic heart disease, whether drug treatment should be performed, stent treatment, etc. should be performed. You need to judge. In recent years, as a diagnosis for evaluating hematogenous ischemia of coronary arteries, a method of measuring myocardial blood flow reserve ratio (FFR: Fractional Flow Reserve) using a pressure wire in coronary angiography (CAG) using a catheter has been used. It is being recommended.

On the other hand, for example, hematogenous ischemia of the coronary artery using medical images of the heart collected by medical imaging devices such as X-ray CT (Computed Tomography) devices, MRI (Magnetic Resonance Imaging) devices, and ultrasonic diagnostic devices. A method of performing evaluation non-invasively is also known. As described above, hematogenous ischemia is evaluated by various methods, and treatment is performed according to the evaluation. In recent years, it has been desired to determine the actual therapeutic effect before treatment.

Japanese Patent Publication No. 2013-534154

An object to be solved by the present invention is to provide a medical image processing device, an X-ray CT device, and a medical image processing program capable of displaying an easily observable color image for an index related to blood flow.

The medical image processing apparatus according to the embodiment includes a data acquisition unit, an analysis unit, an acquisition unit, a generation unit, and a display control unit. The data acquisition unit acquires image data including the blood vessels of the subject. The analysis unit performs fluid analysis on the structure of the blood vessel included in the acquired image data, and obtains an index value regarding blood flow at each position of the blood vessel. The acquisition unit acquires information indicating the display status of the index value as switching information for switching the display mode when displaying the index value. The generation unit generates a color image reflecting the index value in a display mode corresponding to the switching information with respect to the image showing the blood vessel of the subject. The display control unit causes the display unit to display the color image.

FIG. 1 is a diagram showing an example of a configuration of a medical image processing system according to a first embodiment. FIG. 2 is a diagram showing an example of the configuration of the medical image processing apparatus according to the first embodiment. FIG. 3 is a diagram for explaining an example of processing by the analysis function according to the first embodiment. FIG. 4 is a diagram for explaining a time phase used in the fluid analysis according to the first embodiment. FIG. 5A is a diagram for explaining an example of calculating ΔFFR by the analysis function according to the first embodiment. FIG. 5B is a diagram for explaining an example of calculating ΔFFR by the analysis function according to the first embodiment. FIG. 5C is a diagram for explaining an example of calculating ΔFFR by the analysis function according to the first embodiment. FIG. 6A is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 6B is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 6C is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 6D is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 6E is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 6F is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 7A is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 7B is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 8A is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 8B is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 9A is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 9B is a diagram showing an example of a color image generated by the generation function according to the first embodiment. FIG. 10 is a flowchart showing a processing procedure by the medical image processing apparatus according to the first embodiment. FIG. 11 is a diagram showing an example of a color image generated by the generation function according to the second embodiment. FIG. 12A is a diagram showing a generation example of a color image generated by the generation function according to the second embodiment. FIG. 12B is a diagram showing a generation example of a color image generated by the generation function according to the second embodiment. FIG. 12C is a diagram showing a generation example of a color image generated by the generation function according to the second embodiment. FIG. 13 is a diagram showing an example of the configuration of the X-ray CT apparatus according to the third embodiment.

Hereinafter, embodiments of the medical image processing apparatus, the X-ray CT apparatus, and the medical image processing program according to the present application will be described in detail with reference to the accompanying drawings. The medical image processing device, the X-ray CT device, and the medical image processing program according to the present application are not limited to the embodiments shown below.

(First Embodiment)
First, the first embodiment will be described. In the first embodiment, an example in which the technique according to the present application is applied to a medical image processing apparatus will be described. Hereinafter, a medical image processing system including a medical image processing device will be described as an example. Further, in the following, as an example, an example in which a blood vessel of the heart is analyzed will be described.

FIG. 1 is a diagram showing an example of a configuration of a medical image processing system according to a first embodiment. As shown in FIG. 1, the medical image processing system according to the first embodiment includes an X-ray CT (Computed Tomography) device 100, an image storage device 200, and a medical image processing device 300.

For example, the medical image processing device 300 according to the first embodiment is connected to the X-ray CT device 100 and the image storage device 200 via the network 400, as shown in FIG. The medical image processing system may be further connected to other medical image diagnostic devices such as an MRI device, an ultrasonic diagnostic device, and a PET (Positron Emission Tomography) device via the network 400.

The X-ray CT apparatus 100 collects CT image data (volume data) of the subject. Specifically, the X-ray CT apparatus 100 swirls and moves an X-ray tube and an X-ray detector around the subject, detects X-rays transmitted through the subject, and collects projection data. Then, the X-ray CT apparatus 100 generates time-series three-dimensional CT image data based on the collected projection data.

The image storage device 200 stores image data collected by various medical diagnostic imaging devices. For example, the image storage device 200 is realized by a computer device such as a server device. In the present embodiment, the image storage device 200 acquires CT image data (volume data) from the X-ray CT device 100 via the network 400, and stores the acquired CT image data in a memory provided inside or outside the device. Remember.

The medical image processing device 300 acquires image data from various medical image diagnostic devices via the network 400, and processes the acquired image data. For example, the medical image processing device 300 is realized by a computer device such as a workstation. In the present embodiment, the medical image processing device 300 acquires CT image data from the X-ray CT device 100 or the image storage device 200 via the network 400, and performs various image processing on the acquired CT image data. Then, the medical image processing apparatus 300 displays the CT image data before or after performing the image processing on a display or the like. Here, the medical image processing device 300 can be arranged in various places. For example, the medical image processing device 300 is arranged in a CT room in which an X-ray CT device 100 is arranged, a catheter procedure room in which various procedures using a catheter are performed, a reading room for reading an image, or the like. Will be done. When arranged in a plurality of places, the medical image processing apparatus 300 is arranged in each place.

FIG. 2 is a diagram showing an example of the configuration of the medical image processing apparatus 300 according to the first embodiment. For example, as shown in FIG. 2, the medical image processing apparatus 300 includes a communication interface 310, a memory 320, an input interface 330, a display 340, and a processing circuit 350.

The communication interface 310 is connected to the processing circuit 350 and controls the transmission and communication of various data with various medical diagnostic imaging devices or image storage devices 200 connected via the network 400. For example, the communication interface 310 is realized by a network card, a network adapter, a NIC (Network Interface Controller), or the like. In the present embodiment, the communication interface 310 receives CT image data from the X-ray CT device 100 or the image storage device 200, and outputs the received CT image data to the processing circuit 350.

The memory 320 is connected to the processing circuit 350 and stores various data. For example, the memory 320 is realized by a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, a hard disk, an optical disk, or the like. In the present embodiment, the memory 320 stores CT image data received from the X-ray CT device 100 or the image storage device 200. Further, the memory 320 stores the processing result of the processing circuit 350.

The input interface 330 is connected to the processing circuit 350, converts the input operation received from the operator into an electric signal, and outputs the input operation to the processing circuit 350. For example, the input interface 330 includes a trackball, a switch button, a mouse, a keyboard, a touch pad for performing input operations by touching an operation surface, a touch screen in which a display screen and a touch pad are integrated, and a non-optical sensor. It is realized by a contact input circuit, a voice input circuit, and the like. The input interface 330 is connected to the processing circuit 350, converts the input operation received from the operator into an electric signal, and outputs the input operation to the processing circuit 350. The input interface 330 in the present specification is not limited to the one provided with physical operation parts such as a mouse and a keyboard. For example, an example of the input interface 330 includes a processing circuit that receives an electric signal corresponding to an input operation from an external input device provided separately from the medical image processing device 300 and outputs the electric signal to the processing circuit 350. Is done.

The display 340 is connected to the processing circuit 350 and displays various information and various image data output from the processing circuit 350. For example, the display 340 is realized by a liquid crystal monitor, a CRT (Cathode Ray Tube) monitor, a touch panel, or the like.

The processing circuit 350 controls each component of the medical image processing apparatus 300 in response to an input operation received from the operator via the input interface 330. For example, the processing circuit 350 is realized by a processor. In the present embodiment, the processing circuit 350 stores the CT image data output from the communication interface 310 in the memory 320. Further, the processing circuit 350 reads CT image data from the memory 320 and displays it on the display 340.

Under such a configuration, the medical image processing apparatus 300 according to the present embodiment makes it possible to display a color image that is easy to observe for an index related to blood flow. Specifically, the medical image processing apparatus 300 displays a color image that is easy to observe by switching the display mode of the color image that reflects the index related to blood flow based on external information. That is, the medical image processing device 300 makes it possible to display a color image that is easy for the observer to observe by displaying a color image according to the situation. In the following, external information for switching the display mode of the color image is also referred to as switching information.

In order to execute the above-mentioned processing, the processing circuit 350 in the medical image processing apparatus 300 according to the first embodiment has a control function 351, an analysis function 352, an acquisition function 353, and a generation function, as shown in FIG. 354 and the display control function 355 are executed. Here, the control function 351 is an example of a data acquisition unit within the scope of claims. Further, the analysis function 352 is an example of an analysis unit within the scope of claims. Further, the acquisition function 353 is an example of an acquisition unit within the scope of claims. Further, the generation function 354 is an example of a generation unit within the scope of claims. Further, the display control function 355 is an example of a display control unit within the scope of claims.

The control function 351 executes overall control of the medical image processing apparatus 300. For example, the control function 351 controls various processes according to the electric signal received from the input interface 330. As an example, the control function 351 controls acquisition of CT image data via the communication interface 310, storage of the acquired CT image data in the memory 320, and the like. Further, for example, the control function 351 reads the CT image data stored in the memory 320 and controls the generation of the display image from the read CT image data. As an example, the control function 351 generates an image of a blood vessel by performing various image processing on the CT image data. For example, the control function 351 performs image processing on CT image data to perform a volume rendering image, a CPR (Curved Multi Planar Reconstruction) image, an MPR (Multi Planar Reconstruction) image, and an SPR (Stretched Multi Planar Reconstruction) image. Generate clinical images such as. Further, for example, the control function 351 generates a model image of a blood vessel included in the CT image data by performing image processing on the CT image data.

The analysis function 352 executes fluid analysis based on the CT image data. Specifically, the analysis function 352 performs fluid analysis on the structure of the blood vessel included in the acquired image data, and obtains an index value regarding blood flow at each position of the blood vessel. More specifically, first, the analysis function 352 extracts time-series blood vessel shape data representing the shape of the blood vessel from the three-dimensional CT image data. For example, the analysis function 352 reads the CT image data of the plurality of time phases collected over time from the memory 320, and performs image processing on the read CT image data of the plurality of time phases to form a time-series blood vessel shape. Extract the data.

Here, the analysis function 352 sets a target region for calculating an index related to blood flow in the blood vessel region included in the CT image data. Specifically, the analysis function 352 sets the target area in the blood vessel area by an instruction or image processing by the operator via the input interface 330. Then, the analysis function 352 uses, for example, the core line of the blood vessel (coordinate information of the core line), the cross-sectional area of the blood vessel and the lumen in the cross section perpendicular to the core line, and the cross section perpendicular to the core line as the blood vessel shape data of the set target region. The distance from the core wire in the columnar direction to the inner wall and the distance from the core wire to the outer wall are extracted from the CT image data. The analysis function 352 can extract various other blood vessel shape data depending on the analysis method.

Further, the analysis function 352 sets the analysis conditions for the fluid analysis. Specifically, the analysis function 352 sets the physical characteristic value of blood, the condition of iterative calculation, the initial value of analysis, and the like as the analysis condition. For example, the analysis function 352 sets the viscosity, density, and the like of blood as physical property values of blood. Further, the analysis function 352 sets the maximum number of iterations in the iterative calculation, the relaxation coefficient, the allowable value of the residual, and the like as the conditions for the iterative calculation. Further, the analysis function 352 sets the flow rate, pressure, fluid resistance, initial value of the pressure boundary, and the like as the initial value of the analysis. The various values used by the analysis function 352 may be incorporated in the system in advance, or may be interactively defined by the operator.

Then, the analysis function 352 calculates an index related to blood flow in the blood vessel by fluid analysis using image data including a blood vessel (for example, a coronary artery or the like). Specifically, the analysis function 352 executes fluid analysis using the blood vessel shape data and the analysis conditions, and calculates an index related to blood flow in the target region of the blood vessel. For example, the analysis function 352 is based on blood vessel shape data such as the contour of the blood vessel lumen and outer wall, the cross-sectional area of the blood vessel, and the core wire, and setting conditions such as blood physical properties, repeated calculation conditions, and initial analysis values. , Calculate indexes such as pressure, blood flow rate, blood flow velocity, vector and shear stress for each predetermined position of blood vessel. Further, the analysis function 352 uses time fluctuations of blood vessel shape data such as the contour of the blood vessel cavity and outer wall, the cross-sectional area of the blood vessel, and the core wire to obtain pressure, blood flow rate, blood flow rate, vector, shear stress, and the like. Calculate the time variation of the index of.

FIG. 3 is a diagram for explaining an example of processing by the analysis function 352 according to the first embodiment. As shown in FIG. 3, for example, the analysis function 352 extracts blood vessel shape data for LAD, which is a target region, from three-dimensional CT image data including an aorta and a coronary artery. Further, the analysis function 352 sets the analysis conditions for the analysis targeting the extracted LAD. Then, the analysis function 352 performs fluid analysis using the extracted blood vessel shape data of LAD and the set analysis conditions, for example, along the core line from the boundary of the inlet to the boundary of the exit of the target region LAD. Indexes such as pressure, blood flow rate, blood flow velocity, vector and shear stress are calculated for each predetermined position. That is, the analysis function 352 calculates the distribution of pressure, blood flow rate, blood flow rate, vector, shear stress, etc. for the target region.

As described above, the analysis function 352 extracts blood vessel shape data from the CT image data of multiple time phases collected over time, and fluid analysis using the extracted blood vessel shape data of multiple time phases and analysis conditions. By doing this, an index related to blood flow is calculated. Here, the analysis function 352 calculates a more accurate analysis result by using CT image data of a plurality of time phases whose core phases are within a predetermined range.

The fluid analysis by the analysis function 352 is not limited to the fluid analysis using the analysis conditions as described above, and an index related to blood flow may be calculated using, for example, machine learning. When calculating an index related to blood flow using machine learning, for example, a large number of blood flow index distributions when blood flows through a part imitating the shape of a blood vessel are stored and learned. Specifically, fluid analysis using the boundary condition on the inlet side of the part, the boundary condition on the exit side, and the part shape is performed in advance, and the relationship between the part shape, the boundary condition, and the blood flow index distribution is memorized.・ By learning, a classifier that derives the blood flow index distribution from the part shape and boundary conditions is formed. This memory / learning is performed for various part shapes and boundary conditions. Then, when the blood vessel shape data and the boundary conditions of the subject are input, the blood flow index distribution in the blood vessel shape data of the subject may be derived by inputting the blood vessel shape data into the trained classifier. ..

FIG. 4 is a diagram for explaining a time phase used in the fluid analysis according to the first embodiment. In FIG. 4, the heartbeat is shown in the upper row, the movement of the heart is shown in the middle row, and the area of the coronary artery is shown in the lower row. Further, in FIG. 4, the lateral direction indicates time, and the heartbeat, the movement of the heart, and the time change of the area of the coronary artery are shown in association with each other. For example, the analysis function 352 executes fluid analysis using CT image data of the core phase included in the range of 70% to 99% of the core phase. Here, the cardiac phase of 70% to 99% is a time phase in which there is not much movement of the heart and the change in the area of the coronary artery is large, as shown in FIG. The heart moves by contraction and expansion, and as shown in the middle part of FIG. 4, the movement becomes stable in the latter half of the diastole (heart phase 70% to 99%). That is, the analysis function 352 can use the CT image data with a small movement associated with the pulsation by using the CT image data of the heart phase included in the heart phase of 70% to 99% in which the movement is stable.

Further, as shown in the lower part of FIG. 4, the area of the coronary artery is maximum in the vicinity of the cardiac phase of 70% and minimum in the vicinity of 99%. This is because blood begins to flow into the coronary arteries at around 70% of the cardiac phase, and then blood flows out as it progresses to 99%. The analysis function 352 calculates a more accurate analysis result by using CT image data of a plurality of time phases within a range of 70% to 99% of the cardiac phase so as to include the change in the area of the coronary artery as much as possible.

Further, the analysis function 352 calculates the myocardial blood flow reserve ratio (FFR: Fractional Flow Reserve) based on the pressure distribution in the target region. That is, in the analysis function 352, how much blood flow is inhibited by the lesion from the pressure on the upstream side and the pressure on the downstream side of a predetermined position in the blood vessel (for example, a lesion site such as a stenosis or a plaque). FFR, which is an index for estimating the above, is calculated. Here, the analysis function 352 according to the present application can calculate various pressure indexes as FFR.

Here, first, the definition of FFR will be described. As described above, FFR is an index for estimating how much blood flow is obstructed by a lesion (for example, stenosis or plaque), and is a flow rate when there is no lesion and a flow rate when there is a lesion. It is defined by the ratio and calculated by the following equation (1). In addition, "Qn" in the formula (1) shows the flow rate when there is no lesion, and "Qs" shows the flow rate when there is a lesion.

The FFR is defined, for example, by an equation in which "Qs" is divided by "Qn", as shown in the equation (1). Here, in general, in the calculation of FFR, by administering adenosine to the subject to bring it into a maximum hyperemic state (stress state), the relationship between the flow rate in the blood vessel and the pressure is made proportional, and the FFR is calculated. Can be replaced with the definition of pressure. That is, the equation (1) can be expressed as the following equation (2) by setting the relationship between the flow rate in the blood vessel and the pressure as a proportional relationship. In the formula (2), "Pa" indicates the pressure on the upstream side of the lesion, and "Pd" indicates the pressure on the downstream side of the lesion. In addition, "Pv" indicates the pressure in the right atrium into which venous blood from the whole body flows.

For example, by making the relationship between the flow rate in the blood vessel and the pressure proportional, "Qs" is expressed as "Pd-Pv" and "Qn" is expressed as "Pa-Pv" as shown in the equation (2). Can be expressed as. That is, the FFR is represented by the ratio of the values obtained by subtracting the pressure on the upstream side of the lesion and the pressure on the downstream side of the lesion from the pressure at the baseline of the blood vessel.

Here, in the stress state in which adenosine is administered to the subject, it can be regarded as "Pa >> Pv" and "Pd >> Pv", so that the formula (2) is expressed as the following formula (3). Can be regarded.

That is, as shown in the formula (3), the FFR is calculated by the formula in which "Pd" is divided by "Pa". For example, the analysis function 352 calculates the FFR value at each position of the blood vessel by substituting the calculated upstream pressure and downstream pressure of the lesion into the above equation (3).

Although an example of the method of calculating the FFR value is shown above, the FFR value calculated in the present embodiment is not limited to the one using the above-mentioned calculation method, and the pressure at the point on the upstream side of the blood vessel and the downstream side are shown. The calculation method is not limited to this as long as it is a pressure index value indicating a comparison with the pressure at the point. For example, the pressure ratio may be calculated for the subject in a resting state. Alternatively, the value of the pressure on the upstream side or the value of the pressure on the downstream side may be estimated from another value or calculated by replacing it. In the following, each of the above pressure indexes will be collectively referred to as FFR.

In addition, the analysis function 352 calculates ΔFFR, which is the difference between the FFRs for each position calculated as described above. 5A to 5C are diagrams for explaining a calculation example of ΔFFR by the analysis function 352 according to the first embodiment. Here, FIG. 5A shows a blood vessel for calculating ΔFFR and a calculation width of ΔFFR for the blood vessel. Further, FIG. 5B shows a graph of FFR in the blood vessel shown in FIG. 5A. Further, FIG. 5C is a diagram showing an example of ΔFFR calculated by the analysis function 352.

For example, as shown in FIG. 5A, the analysis function 352 sets a calculation width “1.0 cm” for calculating ΔFFR for a blood vessel for which ΔFFR is calculated. Here, the calculated width is a width for determining the position where the FFR values are different. For example, in the calculated width "1.0 cm" shown in FIG. 5A, the value of FFR at the position of arrow 61 in the blood vessel and the value of FFR at the position of arrow 62 are different. That is, the analysis function 352 calculates the difference at each position while moving the calculation width shown in FIG. 5A by a predetermined distance along the blood vessel.

As an example, the analysis function 352 first calculates the difference (ΔFFR) between the FFR value at the position of arrow 61 and the FFR value at the position of arrow 62 at the position of the calculation width shown in FIG. 5A. Then, the analysis function 352 moves the calculated width by "1 mm" along the blood vessel (to the right in the figure), and the FFR value at the position of the arrow 61 and the FFR value at the position of the arrow 62 at the position after the movement. The difference (ΔFFR) of is calculated. Similarly, the analysis function 352 moves the calculation width by "1 mm" along the blood vessel, and calculates ΔFFR at each position in order.

As a result, the analysis function 352 can calculate ΔFFR for each position (distance from the origin) on the blood vessel as shown in the curve L2 in FIG. 5C. The calculation width used for calculating ΔFFR can be arbitrarily set. For example, the analysis function 352 can extract stenosis or plaque from CT image data and set the calculation width according to the size of the extracted stenosis or plaque. As an example, the analysis function 352 sets a calculated width that is substantially the same as the width of the stenosis or plaque in the long axis direction of the blood vessel.

As described above, the ΔFFR calculated by the analysis function 352 can be used for evaluation for a plurality of stenosis as shown in FIG. 5A, for example. For example, as shown in FIG. 5A, when a stenosis 51 and a stenosis 52 occur in a blood vessel, the FFR graph of the blood vessel shows that the FFR value decreases at each stenosis position as shown in the curve L1 of FIG. 5B. Will be. Here, when the stenosis 51 and the stenosis 52 are evaluated only by the graph of FFR shown in FIG. 5B, it is difficult to understand which stenosis has a stronger effect on the blood flow.

Therefore, when the value of ΔFFR calculated by the analysis function 352 is referred to, the change of ΔFFR is larger among the change position 53 and the change position 54 in which the value of ΔFFR changes significantly (the value of FFR drops sharply). It can be seen that the change position 53 has a greater effect on blood flow. That is, it can be seen that the stenosis 51 corresponding to the change position 53 has a stronger influence on the blood flow, and the treatment priority is high.

Further, the analysis function 352 according to the first embodiment can also calculate the inner diameter stenosis rate based on the inner diameter of the blood vessel. For example, the analysis function 352 calculates the lumen diameter of the blood vessel at each position of the blood vessel using the CT image data, and calculates the inner diameter stenosis rate (% DS) using the calculated lumen diameter of each position.

Returning to FIG. 2, the acquisition function 353 acquires switching information for switching the display mode when displaying the index value. Specifically, the acquisition function 353 acquires information indicating the display status of the index value as switching information. That is, the acquisition function 353 acquires information that can determine the situation in which the index value is displayed. Here, the switching information acquired by the acquisition function 353 is used to determine the display mode of the color image in which the value of the index related to blood flow is indicated by the color information. For example, the acquisition function 353 acquires at least one of the index value type information, the test information, and the subject information as switching information. Further, the acquisition function 353 acquires display information (for example, an image or the like) displayed together with the index value and information such as an application to be started together with the display of the index value as switching information.

For example, the index value type information includes information such as FFR, instantaneous FFR, ΔFFR, pressure, flow rate, and stenosis rate. The acquisition function 353 acquires the type of the index value specified by the operator via the input interface 330, and notifies the generation function 354 of the acquired type information. Alternatively, the acquisition function 353 acquires the type of the index value set by default, and notifies the generation function 354 of the information of the acquired type.

Further, for example, the inspection information includes information such as the type of inspection and the person in charge of inspection. The acquisition function 353 acquires information such as the type of examination such as whether the examination is normal or urgent and the information of the doctor in charge of diagnosis from the information input via the input interface 330. Then, the acquisition function 353 notifies the generation function 354 of the acquired inspection information. Alternatively, the acquisition function 353 acquires the above-mentioned inspection information from the HIS (Hospital Information System) applied to the medical image processing system and the server device that manages the RIS (Radiology Information System), and generates the acquired inspection information. Notify function 354.

In addition, for example, the subject information is the number of tests, the test results so far, the treatment contents so far, body shape information, nationality, race, area of residence, affiliation organization, medicines taken, health diagnosis. Includes information such as results. The test results so far are, for example, whether or not a stenosis is found by a CTA (Computed Tomographic Angiography) test, the diameter and area of the blood vessel where the stenosis was found, and the position where the stenosis was found (for example, 3 of the coronary artery). It contains information such as whether it is a three-branch lesion in which a stenosis is found in a branch). In addition, the treatment contents so far include information such as whether or not a person has undergone coronary artery bypass grafting. Further, the body shape information includes, for example, information such as myocardial weight, body weight, and BMI (Body Mass Index). The acquisition function 353 acquires the above-mentioned subject information from the information input via the input interface 330, and notifies the generation function 354 of the acquired subject information. Alternatively, the acquisition function 353 acquires the above-mentioned subject information from the HIS applied to the medical image processing system or the server device that manages the RIS, and notifies the generation function 354 of the acquired subject information.

Further, for example, the acquisition function 353 acquires image information displayed together with the index value, application information used together with the display of the index value, information indicating the display purpose of the index value, and the like as switching information. As an example, the acquisition function 353 acquires the information of the image displayed on the display 340 separately from the display of the index value. For example, the acquisition function 353 determines the type of image displayed on the display 340 (for example, volume rendered image, MPR image, CPR image, myocardial Perfusion image, etc.) and the site displayed on the image (for example, the entire heart including the coronary artery). Information such as an image showing the image and a local image of the coronary artery) is acquired. Here, the acquisition function 353 may be used, for example, to acquire the type or portion of the image from the incidental information of the image data. Further, for example, the acquisition function 353 may acquire information that the image is a local image by accepting an operation of selecting an area for the displayed image via the input interface. .. Further, for example, the acquisition function 353 can acquire the position in the image by accepting the operation of designating the position with respect to the displayed image via the input interface.

Further, for example, the acquisition function 353 acquires information on the started application separately from the application that displays the index value. For example, the acquisition function 353 acquires the information of the analysis application that is started separately from the application that displays the index value. Here, the information of the application acquired by the acquisition function 353 may be an application related to the application for displaying the index value (for example, another application included in the same software as the application for displaying the index value). , An application that is not related to the application that displays the index value (for example, an application included in software other than the application that displays the index value) may be used.

Further, for example, the acquisition function 353 acquires information indicating the display purpose of the index value from the application. As an example, the acquisition function 353 acquires the display purpose of the index value based on an operation in an application different from the application for displaying the index value. An example showing the purpose of displaying the index value will be described in detail later.

The generation function 354 generates a color image reflecting the index value in a display mode according to the switching information with respect to the image showing the blood vessel of the subject. Specifically, the generation function 354 generates a color image that reflects the index value in a display mode according to the situation in which the index value is displayed. That is, the generation function 354 generates a color image based on the color table set according to the situation in which the index value is displayed. For example, the generation function 354 generates a color image reflecting the index value in a display mode corresponding to at least one of the index value type information, the test information, and the subject information. That is, the generation function 354 determines the display mode of the color image based on the switching information notified from the acquisition function 353, and generates the color image of the determined display mode. Hereinafter, the color image generated by the generation function 354 will be described with reference to FIGS. 6A to 6F. 6A to 6F are diagrams showing an example of a color image generated by the generation function 354 according to the first embodiment.

For example, the generation function 354 sets a reference value for the index value according to the switching information, and generates a color image in which the color is changed with the set reference value as a boundary. As an example, when the type of inspection is urgent in the switching information, the generation function 354 sets "0.8" as the reference value of FFR as shown in FIG. 6A, and sets the reference value ". A two-color image in which the color changes with "0.8" as a boundary is generated. That is, the generation function 354 classifies the FFR value analyzed by the analysis function 352 for each position of the coronary artery of the subject into two ranges with "0.8" as a boundary. Then, the generation function 354 sets a color in each of the two ranges (for example, red for less than 0.8, blue for 0.8 or more, etc.), and sets each position in the model image of the blood vessel of the subject. Generates the color image shown in. As a result, as shown in FIG. 6A, the generation function 354 generates a color image in which the region where the FFR value is less than "0.8" can be confirmed at a glance. As a result, the observer can easily make a diagnosis such as whether or not to perform percutaneous coronary intervention (PCI) or whether or not to perform drug treatment on the subject.

Here, the reference value set by the generation function 354 can be set according to the switching information. That is, the number of reference values and the numerical value of the reference value can be set so as to change according to the switching information. For example, the number of reference values may be set by the information of the attending physician included in the test information, the information on the number of tests included in the subject information, and the like. For example, in the case of a plurality of examinations for follow-up, or in the case of a predetermined predetermined doctor, the generation function 354 has "0.8" and "0" as reference values as shown in FIG. 6B. ".75" is set, and a three-color image in which the colors change with the set reference values "0.8" and "0.75" as boundaries is generated. That is, the generation function 354 sets the FFR value analyzed by the analysis function 352 for each position of the coronary artery of the subject to "less than 0.75", "0.75 or more and less than 0.8", and "0.8 or more". It is classified into three ranges. Then, the generation function 354 sets colors in each of the three ranges, and generates a color image showing each position in the model image of the blood vessel of the subject in the set color.

Further, for example, in the case of the first inspection, as shown in FIG. 6C, the generation function 354 uses each value when the value from "0.5" to "1.0" is divided into 9 as a reference value. It sets and generates a color image of 9 colors whose color changes with each set reference value as a boundary. That is, the generation function 354 classifies the FFR values analyzed by the analysis function 352 for each position of the coronary artery of the subject into nine ranges. Then, the generation function 354 sets a color in each of the nine ranges, and generates a color image showing each position in the model image of the blood vessel of the subject in the set color.

Here, the numerical value of the reference value set by the generation function 354 can be set according to the switching information. For example, in FIG. 6B, the case where “0.8” and “0.75” are set as reference values is taken as an example, but these values are information on the type of index value and the test result of the subject. And it can be changed as appropriate according to the body shape information of the subject. For example, when the instantaneous FFR is used as the index value, the generation function 354 may set "0.86" and "0.93" as the reference value. Further, for example, when the myocardial weight, the body weight, and the BMI of the subject are large, the generation function 354 may set the two reference values "0.8" and "0.75" higher, respectively. good.

Further, the generation function 354 can set a reference value based on various other switching information. For example, the generation function 354 is a reference value for a subject who has suffered a myocardial infarction in the past, a subject who has an arrhythmia, a subject who has been prescribed a drug such as an antiplatelet drug or an anticoagulant, or a subject having a high cholesterol level. Is set higher. Further, for example, the generation function 354 can change the reference value according to the result of the health diagnosis of each subject. Further, for example, the generation function 354 can set a reference value according to the nationality, race, residential area, and organization to which the subject belongs.

Further, the range of the index value to be colorized by the generation function 354 can also be set according to the switching information. For example, in FIGS. 6A and 6B, the case where the range of FFR to be colorized is set to "0-1.0" is shown, but as shown in FIG. 6C, "0.5" is shown according to the switching information. It may be the case of setting "-1.0". For example, when checking the FFR value in detail, the generation function 354 can set a narrow range of FFR to be colorized and generate a color image color-coded by a plurality of reference values. ..

Further, in the above example, the case where the color (hue) is changed with the reference value as the boundary has been described as an example, but the colors used for these may be arranged so that the area of interest is emphasized. It is possible. For example, the generation function 354 colors the area where the FFR value is "less than 0.75" conspicuously, and clearly distinguishes the area "less than 0.75" and the area "0.75 or more". Color scheme so that it can be done. That is, the generation function 354 generates a color image in which the index value included in the predetermined range based on the reference value is emphasized in the index value. This allows the observer to confirm the position of the area of interest at a glance.

Further, the generation function 354 can also change the brightness and the transparency with the reference value as a boundary. Specifically, the generation function 354 sets a reference value for the index value according to the switching information, and generates a color image in which the brightness of the color is changed with the set reference value as a boundary. For example, the generation function 354 generates a color image in which the brightness of the region where the FFR value is "less than 0.75" is increased. Further, the generation function 354 sets a reference value for the index value according to the switching information, and generates a color image in which the transparency is changed with the set reference value as a boundary. For example, the generation function 354 generates a color image in which the transparency of the region where the FFR value is "0.75 or more" is increased and the transparency of the region where the FFR value is "less than 0.75" is decreased. In this way, the generation function 354 can emphasize the region of interest in the color image by generating a color image in which the brightness and transparency are changed with the reference value as the boundary.

In the above-mentioned example, the case where FFR is used as the index value has been described as an example. The generation function 354 can generate a color image using an index such as ΔFFR, pressure, flow rate, and stenosis rate in addition to FFR. For example, as shown in FIG. 6D, the generation function 354 sets a reference value for ΔFFR and generates a color image in which the color is changed with the set reference value as a boundary. As an example, as shown in FIG. 6D, the generation function 354 sets "0.2" as the reference value of ΔFFR, and the color changes with the set reference value "0.2" as the boundary. Generate a color image. That is, the generation function 354 classifies the value of ΔFFR analyzed by the analysis function 352 for each position of the coronary artery of the subject into two ranges with "0.2" as a boundary. Then, the generation function 354 sets colors in each of the two ranges (for example, 0.2 or more is red, less than 0.2 is white, etc.), and each position in the model image of the blood vessel of the subject is set to the set color. Generates the color image shown in. This allows the observer to see at a glance a region where ΔFFR is high (that is, a location where the FFR changes abruptly).

In addition to the above-mentioned ΔFFR, the generation function 354 can generate various color images using pressure, flow rate, stenosis rate, and the like as indexes. Here, also in the indexes such as ΔFFR, pressure, flow rate, and stenosis rate, the number of reference values and the numerical values of the reference values are appropriately set according to the switching information.

In FIGS. 6A to 6D described above, a case where a color image reflecting a color is generated with respect to a blood vessel model image generated based on the volume data of the subject has been described. However, the embodiment is not limited to this, and the generation function 354 can generate a color image that reflects the color for various clinical images. For example, as shown in FIG. 6E, the generation function 354 sets "0.8" as the reference value of FFR, and creates a two-color image whose color changes with the set reference value "0.8" as a boundary. , Generated based on the volume rendered image. That is, the generation function 354 classifies the FFR value analyzed by the analysis function 352 for each position of the coronary artery of the subject into two ranges with "0.8" as a boundary. Then, the generation function 354 sets a color in each of the two ranges, and generates a color image showing each position in the volume rendering image including the heart and blood vessels of the subject in the set color.

Further, for example, as shown in FIG. 6F, the generation function 354 sets "0.8" as the reference value of FFR, and two colors whose colors change with the set reference value "0.8" as a boundary. An image is generated based on the CPR image. That is, the generation function 354 classifies the FFR value analyzed by the analysis function 352 for each position of the coronary artery of the subject into two ranges with "0.8" as a boundary. Then, the generation function 354 sets a color in each of the two ranges, and generates a color image showing each position in the CPR image including the blood vessel of the subject in the set color.

Further, the generation function 354 can also generate an image displayed together with the index value, an application used together with the index value, a display purpose of the index value, a color image according to switching information such as a display area of the index value. .. 7A-9B are diagrams showing an example of a color image generated by the generation function 354 according to the first embodiment. Here, FIGS. 7A and 7B show an example in which an image is displayed together with an index value. Further, FIGS. 8A and 8B show an example in which information indicating the display purpose of the index value is used. Further, FIG. 9A and FIG. 9B show an example in which the display area of the index value is used.

For example, as shown in FIG. 7A, the generation function 354 displays an index value in the display area R1 and displays an image in the display area R2 on the display 340, and the type of the image displayed in the display area R2. A color image to be displayed in the display area R1 is generated according to the above. For example, the generation function 354. As shown in FIG. 7A, when the volume rendered image of the entire heart including the coronary arteries is displayed in the display area R2, “0.8” is set as the reference value of FFR, and the set reference value “0. A color image is generated based on a two-color color table whose color changes with "8" as a boundary. That is, the generation function 354 generates a color image with few colors (for example, two colors) that can easily determine the state of blood flow when an image showing the entire heart is displayed. .. Here, for example, when an MPR image in which the coronary artery is enlarged is displayed in the display area R2, the generation function 354 has a value from "0.5" to "1.0" as shown in FIG. 6C. Each value when divided into 9 is set as a reference value, and a color image is generated based on a 9-color color table in which the color changes with each set reference value as a boundary. That is, when a more detailed image is displayed, the generation function 354 generates a color image having many colors (for example, 9 colors) capable of determining the state of blood flow in the blood vessel in more detail. Further, the generation function 354 can also generate a color image according to other image types, a portion displayed in the image, and the like.

Further, the generation function 354 can generate not only the type of the image displayed on the display 340 but also a color image according to various operations on the displayed image. For example, when the acquisition function 353 accepts the operation of designating the coronary artery region for the volume-rendered image of the heart shown in FIG. 7A via the input interface 330, the generation function 354 is switched to the local image. Judgment is made, and a color image of nine colors is generated as a color image to be displayed in the display area R1.

Further, for example, when the acquisition function 353 receives a position designation operation with respect to the displayed image via the input interface, the generation function 354 generates a color image corresponding to the operation received on the image. As an example, when the acquisition function 353 accepts an operation of designating positions P1 to P2 along the blood vessel on the coronary artery in the volume rendered image, the generation function 354 is designated. A color image showing the ΔFFR from the position P1 to the position P2 is generated. Further, when the acquisition function 353 accepts an operation of designating two points of the position P1 and the position P2 on the coronary artery in the volume rendered image, the generation function 354 has the FFR value at the designated position P1 and the position P2. A color image showing the difference (ΔFFR) from the value of FFR is generated. As described above, the generation function 354 can generate a color image according to the type of the image displayed together with the index value and the operation on the image. When a color image corresponding to a position specified on the image (for example, a color image showing ΔFFR) is generated, the image displayed in the display area R2 is based on the medical image data in which the index value is analyzed. It was generated.

Further, the generation function 354 generates a color image according to the information regarding the display purpose of the index value acquired by the acquisition function 353. Here, the acquisition function 353 acquires information regarding the display purpose of the index value based on the operations in various applications. For example, in recent years, a management application that manages subject information in chronological order and can browse various test information has been used. Therefore, the acquisition function 353 acquires switching information regarding the display purpose of the index value from the operation in such a management application. As an example, the acquisition function 353 manages various information of the subject from admission to discharge in chronological order as shown in the area R3 of FIGS. 8A and 8B, and the information is presented to the user. The purpose of displaying the index value is acquired from the information operated in the application.

For example, when the index value display operation is performed using various information of the subject shown in chronological order, the acquisition function 353 acquires the index value display purpose based on the executed operation. do. For example, as shown in FIG. 8A, when the user selects "analysis" from various information of the subject shown in chronological order as a display operation for displaying the index value, the acquisition function 353 acquires "analysis" as information indicating the display purpose of the index value. That is, the acquisition function 353 acquires the display operation as information to display the index value for analysis. When the acquisition function 353 accepts the "analysis" selection operation, the generation function 354 has many colors that are suitable for blood flow analysis and can determine the blood flow state in more detail (as shown in FIG. 8A). For example, 9 colors) to generate a color image.

On the other hand, as shown in FIG. 8B, when the user selects "conference" from various information of the subject shown in chronological order as a display operation for displaying the index value, the acquisition is performed. The function 353 acquires a "conference" as information indicating the display purpose of the index value. That is, the acquisition function 353 acquires the display operation as information for displaying the index value used in the conference. Here, at conferences, in order to observe cases of a plurality of people, there are many cases where color images that can be diagnosed more easily are displayed. Therefore, when the acquisition function 353 accepts the "conference" selection operation, the generation function 354 is a color suitable for blood flow analysis and can more easily determine the state of blood flow, as shown in FIG. 8B. Generate a color image with few (for example, two colors).

Here, since various applications are often started for one subject at the conference, this information may be used as switching information. For example, the acquisition function 353 may determine the number of applications that are started at the same time, and if the number of applications that is equal to or greater than the threshold value is started, the display purpose may be determined to be "conference".

The generation function 354 can also generate a color image based on the display area of the color image on the display 340. Specifically, the generation function 354 generates a color image according to the size of the display area of the color image, the position of the display area, and the like. For example, as shown in FIG. 9A, when the size of the display region R1 in the display 340 is large, the generation function 354 has many colors suitable for analysis of blood flow and capable of determining the blood flow state in more detail (as shown in FIG. 9A). For example, 9 colors) to generate a color image. Further, when the display area R1 is arranged in the center of the display 340 or the display area R1 is full screen, the generation function 354 is suitable for analyzing the blood flow, and the blood flow state is more detailed. Generates a color image with many colors (for example, 9 colors) that can be determined.

On the other hand, as shown in FIG. 9B, when the size of the display area R1 in the display 340 is small or when the display area R4 for displaying a color image other than the color image is further provided, the generation function 354 provides blood flow. A color image with few colors (for example, two colors) that can more easily determine the state of is generated. Further, when the display area R1 is arranged at the end of the display 340, the generation function 354 generates a color image having few colors (for example, two colors) that can more easily determine the state of blood flow. ..

As described above, the generation function 354 generates a color image according to the information for the display purpose of the index value. Here, as the information regarding the display purpose, not only the above-mentioned example but also various other information can be used. For example, the display purpose may be determined using the display time of the color image. In such a case, for example, the acquisition function 353 acquires the display time of the color image. Then, when the display time of the color image exceeds the threshold value (for example, 10 minutes), the generation function 354 can then determine the blood flow state, which is suitable for blood flow analysis, in more detail. Generate a color image with many colors (for example, 9 colors). On the other hand, when the display time of the color image is equal to or less than the threshold value (for example, 1 minute), the generation function 354 then can more easily determine the state of blood flow with few colors (for example, 2 colors). Etc.) Generate a color image. In addition, when the color images exceeding the threshold value (or below the threshold value) are continuous, an image having many colors (or an image having few colors) may be generated.

Further, for example, it may be a case of controlling to switch the color image according to the display time. In such a case, for example, first, the generation function 354 generates a color image having few colors. Then, the acquisition function 353 acquires the display time of the color image having few colors. Then, when the display time of the color image with few colors exceeds the threshold value, the generation function 354 generates the color image with many colors. That is, the generation function 354 determines the degree of observation of the color image, and controls to generate a more detailed color image when the color image is observed for a long time.

Further, for example, the color image generated may be changed depending on the number of observations. For example, when the index value is saved, the information indicating that the analysis has been completed can be saved in association with each other. Therefore, the acquisition function 353 acquires information as switching information as to whether or not the index value at the time of generating the color image is associated with the information indicating that the analysis has been completed. When the index value is associated with the information indicating that the analysis has been completed, the generation function 354 generates, for example, a color image having few colors (for example, two colors) that can more easily determine the state of blood flow. do. On the other hand, when the index value is not associated with the information indicating that the analysis has been completed (in the case of the first analysis), the generation function 354 has many colors (for example, 9 colors) capable of determining the blood flow state in more detail. Etc.) Generate a color image.

As described above, the generation function 354 generates a color image in which the index value is colorized in a display mode according to the switching information. Here, the switching information used by the generation function 354 may be the case where the priority is set. For example, when the acquisition function 353 notifies the generation function 354 of a plurality of switching information, a priority is set for determining which switching information is used by the generation function 354 to determine the display mode of the color image. It may be the case. As an example, a priority is set in which "urgent" is prioritized over "urgent" in the test information and "first test" in the subject information. In such a case, when the acquisition function 353 notifies "emergency" and "first inspection" as switching information, the generation function 354 gives priority to "emergency" and generates a two-color image.

Returning to FIG. 2, the display control function 355 causes the color image to be displayed on the display 340. Specifically, the display control function 355 causes the display 340 to display the color image generated by the generation function 354. Here, the display control function 355 switches and displays the color image to be displayed according to the color image switching operation. For example, when the display control function 355 displays the color image generated by the generation function 354 on the display 340 and then the switching information is input via the input interface 330, the display control function 355 inputs the color image already displayed to the input interface. The color image generated based on the switching information input from 330 is switched and displayed.

As an example, it is assumed that the generation function 354 generates a color image reflecting the value of FFR, and the display control function 355 displays the generated color image on the display 340. In this situation, when the input interface 330 accepts the input of ΔFFR as switching information, the generation function 354 first generates a color image reflecting the value of ΔFFR. Then, the display control function 355 causes the display 340 to display the newly generated color image of ΔFFR.

In this way, the medical image processing device 300 can appropriately switch the color image to be displayed based on the switching information received from the operator via the input interface 330. The switching information input by the operator via the input interface 330 includes not only the index value type information, the test information, and the subject information described above, but also the number of reference values, numerical value information, and the like. That is, the operator operates the input interface 330 to arbitrarily select the type of index value, input test information and subject information, and set the number of reference values (the number of colors used for color images) and numerical values. It can be executed at the timing of.

Next, the procedure of processing by the medical image processing apparatus 300 according to the first embodiment will be described. FIG. 10 is a flowchart showing a processing procedure by the medical image processing apparatus 300 according to the first embodiment. Here, step S101 and step S102 in FIG. 10 are realized, for example, by the processing circuit 350 calling a program corresponding to the analysis function 352 from the memory 320 and executing the program. Further, step S103 is realized, for example, by the processing circuit 350 calling a program corresponding to the acquisition function 353 from the memory 320 and executing the program. Further, steps S104 and S105 are realized, for example, by the processing circuit 350 calling a program corresponding to the generation function 354 from the memory 320 and executing the program. Further, step S106 is realized, for example, by the processing circuit 350 calling a program corresponding to the display control function 355 from the memory 320 and executing the program.

In the medical image processing apparatus 300 according to the present embodiment, first, the processing circuit 350 executes fluid analysis using the collected CT image data (step S101), and obtains an index value (for example, FFR) related to blood flow. Calculate (step S102). Then, the processing circuit 350 acquires the external information (step S103) and determines the display mode based on the external information (step S104).

Then, the processing circuit 350 generates a color image based on the determined display mode (step S105), and displays the generated color image (step S106).

As described above, according to the first embodiment, the analysis function 352 performs fluid analysis on the image including the blood vessel of the subject to obtain an index value regarding blood flow at each position of the blood vessel. The acquisition function 353 acquires switching information for switching the display mode when displaying the index value. The generation function 354 generates a color image reflecting the index value in a display mode according to the switching information with respect to the image showing the blood vessel of the subject. The display control function 355 causes the display unit to display a color image. Therefore, the medical image processing apparatus 300 according to the first embodiment can generate and display a color image in a display mode corresponding to the switching information, and displays a color image that is easy to observe for an index related to blood flow. Make it possible.

Further, according to the first embodiment, the acquisition function 353 acquires at least one of the index value type information, the test information, and the subject information as the switching information. The generation function 354 generates a color image reflecting the index value in a display mode corresponding to at least one of the index value type information, the test information, and the subject information. Therefore, the medical image processing apparatus 300 according to the first embodiment makes it possible to flexibly generate and display a color image according to various situations.

Further, according to the first embodiment, the generation function 354 sets a reference value for the index value according to the switching information, and generates a color image in which the color is changed with the set reference value as a boundary. Therefore, the medical image processing apparatus 300 according to the first embodiment makes it possible to generate and display a color image suitable for diagnosis depending on the situation.

Further, according to the first embodiment, the generation function 354 sets a reference value for the index value according to the switching information, and generates a color image in which the brightness of the color is changed with the set reference value as a boundary. Further, the generation function 354 sets a reference value for the index value according to the switching information, and generates a color image in which the transparency is changed with the set reference value as a boundary. Further, the generation function 354 generates a color image in which the index value included in the predetermined range based on the reference value is emphasized in the index value. Therefore, the medical image processing apparatus 300 according to the first embodiment can generate and display a color image in which the region of interest is emphasized, and displays a color image that is easy to observe for an index related to blood flow. Enables.

Further, according to the first embodiment, the generation function 354 sets a reference value for each type of index value. Therefore, the medical image processing apparatus 300 according to the first embodiment can generate and display a color image suitable for diagnosis for each type of index value, and can easily observe a color image regarding an index related to blood flow. Allows you to display.

Further, according to the first embodiment, the generation function 354 generates a color image in which the inside of the blood vessel in the image showing the blood vessel of the subject is shown in a color corresponding to an index value related to blood flow at each position. .. Therefore, the medical image processing apparatus 300 according to the first embodiment can generate and display a color image capable of easily discriminating a color difference in a color image, and observes an index related to blood flow. It makes it possible to display an easy-to-use color image.

(Second embodiment)
In the first embodiment described above, a case of generating a color image showing a color in the entire inside of a blood vessel has been described. In the second embodiment, the case where the display information showing the index value at each position of the blood vessel in color is displayed along the blood vessel will be described. The configuration of the medical image processing apparatus 300 according to the second embodiment is basically the same as the configuration of the medical image processing apparatus 300 shown in FIG. Therefore, in the following, the differences from the medical image processing apparatus 300 according to the first embodiment will be mainly described, and the components having the same role as the components shown in FIG. 2 are designated by the same reference numerals. A detailed description will be omitted.

The generation function 354 according to the second embodiment is a color showing a line along the blood vessel in an image showing a blood vessel of a subject in a color corresponding to an index value related to blood flow at each position in the long axis direction of the blood vessel. Generate an image. That is, the generation function 354 does not color the entire inside of the blood vessel, but generates a color image showing the color on the line along the blood vessel.

FIG. 11 is a diagram showing an example of a color image generated by the generation function 354 according to the second embodiment. FIG. 11 shows an example of a color image in which two colors are used for a model image of a blood vessel of a subject. For example, as shown in FIG. 11, the generation function 354 generates a color image in which the center lines of blood vessels are shown with respect to the model image and each center line is shown in a color corresponding to the value of the index value. As an example, the generation function 354 sets the reference value to "0.8" as shown in FIG. 11 and sets the reference value at the center line of the blood vessel based on the FFR value at each position in the longitudinal direction of the coronary artery. Generate a colored image with color. That is, as shown in FIG. 11, the generation function 354 indicates the curve L3 along the position where the FFR value is "less than 0.8" in the color corresponding to "less than 0.8", and the FFR value is A color image is generated in which the curve L4 along the position of "0.8 or more" is shown in the color corresponding to "0.8 or more".

For example, in a region where blood vessels are running in a complicated manner, it may be difficult to see the running of blood vessels when the entire inside of each blood vessel is shown in color. Therefore, as shown in FIG. 11, the medical image processing apparatus 300 according to the second embodiment colors only the lines along the blood vessels so that the running of the blood vessels can be easily grasped and the blood flow. It is possible to display a color image that is easy to observe for the index related to.

The example shown in FIG. 11 is just an example, and the generation function 354 can generate various other color images. 12A to 12C are diagrams showing a generation example of a color image generated by the generation function 354 according to the second embodiment. Note that, in FIGS. 12A to 12C, only one region in the color image is shown.

For example, as shown in FIG. 12A, the generation function 354 can generate a color image in which the line L5 along the blood vessel is shown on the outside of the blood vessel and the line L5 is shown in a color corresponding to the value of the index value. That is, the generation function 354 can not only color the inside of the blood vessel but also generate a color image showing the color information outside the blood vessel.

The line indicating the index value outside the blood vessel may be, for example, not only showing the difference in the index value by color but also showing the difference in the index value by the thickness of the line. As an example, when the generation function 354 shows a line along the position where the FFR value is "less than 0.75" in the coronary artery, it is shown thicker than the line along the position "0.75 or more". May be. Further, for example, the generation function 354 can also generate an image in which a number of dots corresponding to the index value is arranged in a direction orthogonal to the long axis direction of the blood vessel. As an example, the generation function 354 generates an image in which the number of dots arranged on the side of the blood vessel is increased as the value of FFR becomes lower.

In addition, the generation function 354 can show lines in various forms with respect to the region where blood vessels intersect. For example, as shown in FIG. 12B, when the blood vessel 71 and the blood vessel 72 intersect and the blood vessel 71 is on the front side of the blood vessel 72, the generation function 354 accurately shows the arrangement relationship of the blood vessels 71. It is possible to generate a color image in which the line L6 along the line L6 is shown above the line L7 along the blood vessel 72. Further, the generation function 354 can also generate a color image showing the entire line L7 as shown in FIG. 12C in order to display the entire line L7 partially hidden by the blood vessel 71.

As described above, according to the second embodiment, the generation function 354 uses a line along the blood vessel in the image showing the blood vessel of the subject as an index value regarding blood flow at each position in the long axis direction of the blood vessel. Generate a color image shown in the corresponding color. Therefore, the medical image processing apparatus 300 according to the second embodiment makes it possible to easily grasp the running of blood vessels and display a color image that is easy to observe for an index related to blood flow.

(Third embodiment)
By the way, although the first and second embodiments have been described so far, various different embodiments may be implemented in addition to the first and second embodiments described above.

In the above-described embodiment, the case where FFR or ΔFFR is displayed as an index related to blood flow has been described as an example. However, the embodiment is not limited to this, and may be a case where a color image relating to other indicators such as flow rate, flow rate, and pressure is displayed.

Further, in the above-described embodiment, a case where a single color table whose color changes with the reference value as a boundary is used has been described. However, the present invention is not limited to this, and the applied color table may be changed according to the position of the index value indicating the same value as the reference value on the blood vessel. Specifically, the acquisition function 353 acquires, as switching information, a position on the blood vessel showing the same value as the reference value of the index value in the index value relating to blood flow at each position of the blood vessel. Then, the generation function 354 generates a color image in which the color scheme is changed according to the position on the blood vessel of the index value indicating the same value as the reference value of the index value among the index values at each position of the blood vessel.

For example, the acquisition function 353 acquires a position on the blood vessel showing the same value as the reference value of the index value in the index value regarding blood flow at each position of the blood vessel based on the analysis result by the analysis function 352. As an example, the acquisition function 353 acquires a position on the blood vessel (for example, a distance from the origin) at which the FFR value is “0.7”. That is, the acquisition function 353 acquires the position on the blood vessel where the value of FFR is "0.7" from the blood vessel shape data and the analysis result of FFR.

The generation function 354 changes the color table according to the position acquired by the acquisition function 353. Here, the color table used properly by the generation function 354 has, for example, a different color scheme depending on the severity. For example, in a color table using colors indicating higher severity, reddish colors are used for each of a plurality of colors assigned with a reference value as a boundary. On the other hand, in a normal color table, various hues such as red, yellow, green, and blue are assigned. For example, when the distance from the origin of the position where the FFR value is "0.7" is less than or equal to the threshold value (close to the origin), the generation function 354 is a color indicating that the severity is higher. A color image is generated using a color table using. On the other hand, when the distance from the origin of the position where the FFR value indicates "0.7" exceeds the threshold value (when it is far from the origin), the generation function 354 uses a normal color table to color. Generate an image.

That is, when the position where the FFR value indicates "0.7" is close to the origin, the region (perfusion area) controlled by the blood vessels whose FFR value is lower than "0.7" is large in the heart. The severity is high. However, when the position where the FFR value indicates "0.7" is far from the origin, the region (perfusion area) controlled by the blood vessels whose FFR value is lower than "0.7" is small in the heart. The severity is not so high. As described above, the generation function 354 can also generate a color image reflecting such a difference in severity by changing the color table according to the position acquired by the acquisition function 353. In the above-mentioned example, the case where the color table is changed according to the distance from the starting portion has been described, but the embodiment is not limited to this, and for example, the color table is changed according to the perfusion area. You may do it.

Further, as for the correspondence between the switching information indicating the display status of the index value described in the embodiment and the display mode of the color image (setting of the reference value, color arrangement, etc.), the correspondence relation set in advance is stored in the memory 320. It may be a case where the generation function 354 appropriately reads out, but it may be a case where a correspondence relationship which is appropriately updated by machine learning is used.

Further, in the above-described embodiment, the case where the medical image processing apparatus 300 executes various processes has been described. However, the embodiment is not limited to this, and may be, for example, a case where various processes are executed in the X-ray CT apparatus 100. FIG. 13 is a diagram showing an example of the configuration of the X-ray CT apparatus 100 according to the third embodiment.

As shown in FIG. 13, the X-ray CT apparatus 100 according to the third embodiment includes a gantry 10, a bed apparatus 20, and a console 30. The gantry 10 is a device that irradiates the subject P with X-rays, detects the X-rays transmitted through the subject P, and outputs the X-rays to the console 30, and includes the X-ray irradiation control circuit 11 and the X-ray generator 12. , A detector 13, a data acquisition circuit (DAS) 14, a rotating frame 15, and a gantry drive circuit 16.

The rotating frame 15 supports the X-ray generator 12 and the detector 13 so as to face each other with the subject P interposed therebetween, and rotates at high speed in a circular orbit centered on the subject P by a gantry drive circuit 16 described later. It is an annular frame.

The X-ray irradiation control circuit 11 is a device that supplies a high voltage to the X-ray tube 12a as a high voltage generating unit, and the X-ray tube 12a uses the high voltage supplied from the X-ray irradiation control circuit 11 to X-ray. Generate a line. The X-ray irradiation control circuit 11 adjusts the X-ray dose irradiated to the subject P by adjusting the tube voltage and the tube current supplied to the X-ray tube 12a under the control of the scan control circuit 33 described later. ..

Further, the X-ray irradiation control circuit 11 switches the wedge 12b. Further, the X-ray irradiation control circuit 11 adjusts the X-ray irradiation range (fan angle and cone angle) by adjusting the opening degree of the collimator 12c. In this embodiment, the operator may manually switch between a plurality of types of wedges 12b.

The X-ray generator 12 is a device that generates X-rays and irradiates the subject P with the generated X-rays, and has an X-ray tube 12a, a wedge 12b, and a collimator 12c.

The X-ray tube 12a is a vacuum tube that irradiates the subject P with an X-ray beam by a high voltage supplied under the control of the X-ray irradiation control circuit 11, and causes the X-ray beam to rotate with the rotation of the rotating frame 15. Irradiate the subject P. The X-ray tube 12a generates an X-ray beam that spreads with a fan angle and a cone angle. For example, under the control of the X-ray irradiation control circuit 11, the X-ray tube 12a is continuously exposed to X-rays around the entire circumference of the subject P for full reconstruction, or is exposed to half reconstruction for half reconstruction. It is possible to continuously expose X-rays within the range (180 degrees + fan angle). Further, under the control of the X-ray irradiation control circuit 11, the X-ray tube 12a can intermittently emit X-rays (pulse X-rays) at a preset position (tube position). The X-ray irradiation control circuit 11 can also modulate the intensity of X-rays exposed from the X-ray tube 12a. For example, the X-ray irradiation control circuit 11 increases the intensity of X-rays emitted from the X-ray tube 12a at a specific tube position, and exposes the X-ray tube 12a in a range other than the specific tube position. Decreases the intensity of the emitted X-rays.

The wedge 12b is an X-ray filter for adjusting the X-ray dose of X-rays exposed from the X-ray tube 12a. Specifically, the wedge 12b transmits the X-rays exposed from the X-ray tube 12a so that the X-rays radiated from the X-ray tube 12a to the subject P have a predetermined distribution. It is a filter that attenuates. For example, the wedge 12b is a filter obtained by processing aluminum so as to have a predetermined target angle and a predetermined thickness. The wedge 12b is also called a wedge filter or a bow-tie filter.

The collimator 12c is a slit for narrowing down the irradiation range of X-rays whose X-ray dose is adjusted by the wedge 12b under the control of the X-ray irradiation control circuit 11.

The gantry drive circuit 16 rotates the rotating frame 15 to rotate the X-ray generator 12 and the detector 13 on a circular orbit centered on the subject P.

The detector 13 is a two-dimensional array type detector (surface detector) that detects X-rays that have passed through the subject P, and the detection element sequence formed by arranging X-ray detection elements for a plurality of channels is in the Z-axis direction. It is arranged in multiple columns along. Specifically, the detector 13 has X-ray detection elements arranged in multiple rows such as 320 rows along the Z-axis direction, and is widely covered, for example, in a range including the lungs and heart of the subject P. It is possible to detect X-rays that have passed through the sample P. The Z axis indicates the direction of the rotation center axis of the rotation frame 15 when the gantry 10 is not tilted.

The data acquisition circuit 14 is a DAS and collects projection data from the X-ray detection data detected by the detector 13. For example, the data acquisition circuit 14 generates projection data by performing amplification processing, A / D conversion processing, sensitivity correction processing between channels, etc. on the X-ray intensity distribution data detected by the detector 13. The projected projection data is transmitted to the console 30 described later. For example, when X-rays are continuously exposed from the X-ray tube 12a during the rotation of the rotating frame 15, the data acquisition circuit 14 collects the projection data group for the entire circumference (360 degrees). Further, the data acquisition circuit 14 associates the tube position with each of the collected projection data and transmits the data to the console 30 described later. The tube position is information indicating the projection direction of the projection data. The sensitivity correction process between channels may be performed by the preprocessing circuit 34, which will be described later.

The bed device 20 is a device on which the subject P is placed, and has a bed drive device 21 and a top plate 22 as shown in FIG. The bed driving device 21 moves the top plate 22 in the Z-axis direction to move the subject P into the rotating frame 15. The top plate 22 is a plate on which the subject P is placed. In the present embodiment, it has been described that the change in the relative position between the gantry 10 and the top plate 22 is realized by controlling the top plate 22, but the embodiment is not limited to this. For example, when the gantry 10 is a self-propelled type, a change in the relative position between the gantry 10 and the top plate 22 may be realized by controlling the traveling of the gantry 10.

The gantry 10 executes, for example, a helical scan in which the rotating frame 15 is rotated while the top plate 22 is moved to spirally scan the subject P. Alternatively, the gantry 10 executes a conventional scan in which the rotating frame 15 is rotated while the position of the subject P is fixed after the top plate 22 is moved to scan the subject P in a circular orbit. Alternatively, the gantry 10 executes a step-and-shoot method in which the position of the top plate 22 is moved at regular intervals to perform conventional scanning in a plurality of scan areas.

The console 30 is a device that accepts the operation of the X-ray CT device 100 by the operator and reconstructs the CT image data using the projection data collected by the gantry 10. As shown in FIG. 13, the console 30 includes an input interface 31, a display 32, a scan control circuit 33, a preprocessing circuit 34, a memory 35, an image reconstruction circuit 36, and a processing circuit 37.

The input interface 31 is a mouse, keyboard, trackball, switch, button, joystick, a touch pad for performing input operations by touching the operation surface, and a display, which are used by the operator of the X-ray CT device 100 to input various instructions and settings. It is realized by a touch screen in which a screen and a touch pad are integrated, a non-contact input circuit using an optical sensor, a voice input circuit, and the like. The input interface 31 is connected to the processing circuit 37, converts the input operation received from the operator into an electric signal, and outputs the input operation to the processing circuit 37. The input interface 31 in the present specification is not limited to the one provided with physical operation parts such as a mouse and a keyboard. For example, an example of the input interface 31 includes a processing circuit that receives an electric signal corresponding to an input operation from an external input device provided separately from the X-ray CT device 100 and outputs the electric signal to the processing circuit 37. Is done.

For example, the input interface 31 receives from the operator shooting conditions for CT image data, reconstruction conditions for reconstructing CT image data, image processing conditions for CT image data, and the like. Further, the input interface 31 accepts an operation for selecting a test for the subject P. Further, the input interface 31 accepts a designation operation for designating a portion on the image.

The display 32 is a monitor referred to by the operator, and under the control of the processing circuit 37, the image data generated from the CT image data can be displayed to the operator, and various types can be displayed by the operator via the input interface 31. It displays a GUI (Graphical User Interface) for accepting instructions and various settings. In addition, the display 32 displays a plan screen for a scan plan, a screen during scanning, and the like.

The scan control circuit 33 controls the operations of the X-ray irradiation control circuit 11, the gantry drive circuit 16, the data acquisition circuit 14, and the sleeper drive device 21 under the control of the processing circuit 37, thereby displaying the projection data on the gantry 10. Control the collection process. Specifically, the scan control circuit 33 controls the collection process of projection data in the imaging in which the positioning image (scano image) is collected and the main imaging (scan) in which the image used for diagnosis is collected.

The preprocessing circuit 34 performs logarithmic transformation processing and correction processing such as offset correction, sensitivity correction, and beam hardening correction on the projection data generated by the data acquisition circuit 14, and obtains the corrected projection data. Generate. Specifically, the preprocessing circuit 34 generates corrected projection data for each of the projection data of the positioning image generated by the data acquisition circuit 14 and the projection data collected by the main shooting, and stores the corrected projection data in the memory 35. Store.

The memory 35 stores the projection data generated by the preprocessing circuit 34. Specifically, the memory 35 stores the projection data of the positioning image generated by the preprocessing circuit 34 and the projection data for diagnosis collected by the main imaging. Further, the memory 35 stores CT image data and the like reconstructed by the image reconstruction circuit 36 described later. Further, the memory 35 appropriately stores the processing result by the processing circuit 37 described later.

The image reconstruction circuit 36 reconstructs the CT image data using the projection data stored in the memory 35. Specifically, the image reconstruction circuit 36 reconstructs CT image data from the projection data of the positioning image and the projection data of the image used for diagnosis. Here, there are various reconstruction methods, and examples thereof include back projection processing. Further, as the back projection process, for example, a back projection process by the FBP (Filtered Back Projection) method can be mentioned. Alternatively, the image reconstruction circuit 36 can reconstruct the CT image data using the successive approximation method.

Further, the image reconstruction circuit 36 generates image data by performing various image processes on the CT image data. Then, the image reconstruction circuit 36 stores the reconstructed CT image data and the image data generated by various image processes in the memory 35.

The processing circuit 37 controls the operation of the gantry 10, the bed device 20, and the console 30 to control the entire X-ray CT device 100. Specifically, the processing circuit 37 controls the CT scan performed on the gantry 10 by controlling the scan control circuit 33. Further, the processing circuit 37 controls the image reconstruction processing and the image generation processing in the console 30 by controlling the image reconstruction circuit 36. Further, the processing circuit 37 controls the display 32 to display various image data stored in the memory 35.

Then, as shown in FIG. 13, the processing circuit 37 executes the control function 37a, the analysis function 37b, the acquisition function 37c, the generation function 37d, and the display control function 37e. The control function 37a controls the entire X-ray CT apparatus 100 and executes the same processing as the control function 351 described above when generating a color image. The analysis function 37b executes the same processing as the analysis function 352 described above. The acquisition function 37c executes the same processing as the acquisition function 353 described above. The generation function 37d executes the same processing as the generation function 354 described above. The display control function 37e executes the same processing as the display control function 355 described above.

In the above-described embodiment, an example in which each processing function is realized by a single processing circuit (processing circuit 350 and processing circuit 37) has been described, but the embodiment is not limited to this. For example, the above-mentioned processing circuit may be configured by combining a plurality of independent processors, and each processor may execute each program to realize each processing function. Further, each processing function of the above-mentioned processing circuit may be appropriately distributed or integrated into a single processing circuit or a plurality of processing circuits.

Further, the word "processor" used in the description of each of the above-described embodiments is, for example, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), or an integrated circuit for a specific application (Application Specific Integrated Circuit: ASIC). , Circuits such as programmable logic devices (eg, Simple Programmable Logic Device (SPLD), Complex Programmable Logic Device (CPLD), and Field Programmable Gate Array (FPGA)). Means. Here, instead of storing the program in the memory, the program may be configured to be directly embedded in the circuit of the processor. In this case, the processor realizes the function by reading and executing the program embedded in the circuit. Further, each processor of the present embodiment is not limited to the case where each processor is configured as a single circuit, and a plurality of independent circuits may be combined to be configured as one processor to realize its function. good.

Here, the medical image processing program executed by the processor is provided in advance in a ROM (Read Only Memory), a memory, or the like. This medical image processing program is a file in a format that can be installed or executed on these devices, and is a CD (Compact Disk) -ROM, FD (Flexible Disk), CD-R (Recordable), DVD (Digital Versatile). It may be recorded and provided on a computer-readable storage medium such as a disk). Further, this medical image processing program may be stored on a computer connected to a network such as the Internet, and may be provided or distributed by being downloaded via the network. For example, this medical image processing program is composed of modules including each functional unit. As actual hardware, the CPU reads a program from a storage medium such as a ROM and executes the program, so that each module is loaded on the main storage device and generated on the main storage device.

Further, in FIG. 2, a single memory 320 has been described as storing a program corresponding to each processing function, but a plurality of memories are distributed and arranged, and a processing circuit 350 corresponds to a program from an individual memory. It may be configured to be read. Further, in FIG. 13, a single memory 35 has been described as storing a program corresponding to each processing function, but a plurality of memories are distributed and arranged, and a processing circuit 37 corresponds to a program from an individual memory. It may be configured to be read.

According to at least one embodiment described above, it is possible to display a color image that is easy to observe for an index related to blood flow.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and variations thereof are included in the scope of the invention described in the claims and the equivalent scope thereof, as are included in the scope and gist of the invention.

100 X-ray CT device 300 Medical image processing device 37a, 351 Control function 37b, 352 Analysis function 37c, 353 Acquisition function 37d, 354 Generation function 37e, 355 Display control function

Claims (39)

An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The display control unit displays a color image in which the index value included in a predetermined range based on the reference value set for the index value according to the incidental information is emphasized in the index value . Image processing device. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is a medical image processing device that acquires test information indicating the type of test of the subject as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is a medical image processing apparatus that acquires, as the switching information, test information indicating the number of past tests for obtaining an index of blood flow related to the subject. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is a medical image processing device that acquires test information indicating the test result of the subject as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is a medical image processing device that acquires information on an image displayed together with the index value as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is a medical image processing device that acquires information on an application used together with the display of the index value as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is a medical image processing device that acquires information indicating a display purpose of the index value as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
As the switching information, the acquisition unit acquires a position on the blood vessel showing the same value as the reference value of the index value in the index value regarding blood flow at each position of the blood vessel.
The display control unit displays a color image in which the color scheme is changed according to the position on the blood vessel of the index value indicating the same value as the reference value of the index value among the index values at each position of the blood vessel. , Medical image processing equipment. The medical image processing apparatus according to claim 1 , wherein the acquisition unit acquires test information indicating the type of test of the subject as the switching information. The medical image processing apparatus according to claim 1 , wherein the acquisition unit acquires, as the switching information, test information indicating the number of past tests for obtaining an index of blood flow related to the subject. The medical image processing apparatus according to claim 1 , wherein the acquisition unit acquires subject information indicating the body shape of the subject as the switching information. The medical image processing apparatus according to claim 1 , wherein the acquisition unit acquires test information indicating the test result of the subject as the switching information. The medical image processing apparatus according to claim 1 , wherein the acquisition unit acquires information on an image displayed together with the index value as the switching information. The medical image processing apparatus according to claim 5 or 13, wherein the acquisition unit acquires information on a position designated on the image as the switching information. The medical image processing apparatus according to claim 1 , wherein the acquisition unit acquires information on an application used together with the display of the index value as the switching information. The medical image processing apparatus according to claim 1 , wherein the acquisition unit acquires information indicating a display purpose of the index value as the switching information. As the switching information, the acquisition unit acquires a position on the blood vessel showing the same value as the reference value of the index value in the index value regarding blood flow at each position of the blood vessel.
The display control unit displays a color image in which the color scheme is changed according to the position on the blood vessel of the index value indicating the same value as the reference value of the index value among the index values at each position of the blood vessel. , The medical image processing apparatus according to claim 1 . The display control unit according to any one of claims 1 to 17, wherein the display control unit displays a color image in which the color is changed with the reference value set for the index value as a boundary according to the incidental information. Medical image processing equipment. One of claims 1 to 17, wherein the display control unit displays a color image in which the brightness of the color is changed with the reference value set for the index value as a boundary according to the incidental information. The medical image processing apparatus described in. The display control unit according to any one of claims 1 to 17, wherein the display control unit displays a color image whose transparency is changed with a reference value set for the index value as a boundary according to the incidental information. Medical image processing equipment. The medical image processing apparatus according to any one of claims 1 and 18 to 20 , wherein the reference value is set for each type of index value included in the incidental information. The display control unit displays a color image showing the inside of the blood vessel in the image showing the blood vessel of the subject in a color corresponding to an index value related to blood flow at each position, according to claims 1 , 18 to 21 . The medical image processing apparatus according to any one of the following items. The display control unit displays a color image in which a line along the blood vessel in the image showing the blood vessel of the subject is shown in a color corresponding to an index value related to blood flow at each position in the long axis direction of the blood vessel. , The medical image processing apparatus according to any one of claims 1 and 18 to 21 . An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The display control unit displays a color image in which the index value included in a predetermined range based on the reference value set for the index value according to the incidental information is emphasized in the index value . Line CT device. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is an X-ray CT apparatus that acquires test information indicating the type of test of the subject as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is an X-ray CT apparatus that acquires, as the switching information, test information indicating the number of past tests for obtaining an index of blood flow related to the subject. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is an X-ray CT apparatus that acquires test information indicating the test result of the subject as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is an X-ray CT apparatus that acquires information on an image displayed together with the index value as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is an X-ray CT apparatus that acquires information on an application used together with display of the index value as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
The acquisition unit is an X-ray CT apparatus that acquires information indicating a display purpose of the index value as the switching information. An analysis unit that obtains the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on the image data including the blood vessels of the subject.
As switching information for switching the display mode when displaying the index value, an acquisition unit for acquiring incidental information of the index value and an acquisition unit.
A display control unit for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Equipped with
As the switching information, the acquisition unit acquires a position on the blood vessel showing the same value as the reference value of the index value in the index value regarding blood flow at each position of the blood vessel.
The display control unit displays a color image in which the color scheme is changed according to the position on the blood vessel of the index value indicating the same value as the reference value of the index value among the index values at each position of the blood vessel. , X-ray CT device. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
A display control procedure for displaying an image showing a blood vessel of a subject on a display unit in which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information in the blood vessel of the subject.
Let the computer run
The display control procedure displays a color image in which an index value included in a predetermined range based on a reference value set for the index value according to the incidental information is emphasized in the index value . Image processing program. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
A display control procedure for displaying an image showing the blood vessel of the subject on the display unit, in which a pixel value reflecting the index value is assigned to the blood vessel of the subject in a display mode corresponding to the incidental information.
Let the computer run
The acquisition procedure is a medical image processing program that acquires test information indicating the type of test of the subject as the switching information. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
In the blood vessel of the subject, a display control unit procedure for displaying an image showing the blood vessel of the subject on the display unit, to which a pixel value reflecting the index value is assigned in a display mode corresponding to the incidental information, and a procedure of the display control unit.
Let the computer run
The acquisition procedure is a medical image processing program that acquires test information indicating the number of past tests for obtaining an index of blood flow related to the subject as the switching information. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
A display control procedure for displaying an image showing the blood vessel of the subject on the display unit, in which a pixel value reflecting the index value is assigned to the blood vessel of the subject in a display mode corresponding to the incidental information.
Let the computer run
The acquisition procedure is a medical image processing program that acquires test information indicating the test result of the subject as the switching information. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
A display control procedure for displaying an image showing the blood vessel of the subject on the display unit, in which a pixel value reflecting the index value is assigned to the blood vessel of the subject in a display mode corresponding to the incidental information.
Let the computer run
The acquisition procedure is a medical image processing program that acquires information on an image displayed together with the index value as the switching information. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
A display control procedure for displaying an image showing the blood vessel of the subject on the display unit, in which a pixel value reflecting the index value is assigned to the blood vessel of the subject in a display mode corresponding to the incidental information.
Let the computer run
The acquisition procedure is a medical image processing program that acquires information on an application used together with the display of the index value as the switching information. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
A display control procedure for displaying an image showing the blood vessel of the subject on the display unit, in which a pixel value reflecting the index value is assigned to the blood vessel of the subject in a display mode corresponding to the incidental information.
Let the computer run
The acquisition procedure is a medical image processing program that acquires information indicating a display purpose of the index value as the switching information. An analysis procedure for obtaining the spatial distribution of index values related to blood flow in the blood vessels obtained by fluid analysis performed on image data including the blood vessels of the subject, and
As switching information for switching the display mode when displaying the index value, an acquisition procedure for acquiring incidental information of the index value and an acquisition procedure.
A display control procedure for displaying an image showing the blood vessel of the subject on the display unit, in which a pixel value reflecting the index value is assigned to the blood vessel of the subject in a display mode corresponding to the incidental information.
Let the computer run
In the acquisition procedure, as the switching information, the position on the blood vessel showing the same value as the reference value of the index value in the index value relating to the blood flow at each position of the blood vessel is acquired.
The display control procedure displays a color image in which the color scheme is changed according to the position on the blood vessel of the index value indicating the same value as the reference value of the index value among the index values at each position of the blood vessel. , Medical image processing program.

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