CN115644921B - Automatic elasticity measurement method - Google Patents
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Abstract
The invention provides an automatic elasticity measurement method, which comprises the following steps: acquiring a two-dimensional ultrasonic image through ultrasonic equipment; determining a target area which is selected by an operator and needs to be subjected to elastic detection; acquiring elastic data of a target area through ultrasonic equipment; according to the elasticity data, carrying out automatic elasticity measurement on the target area to obtain a measurement result; and presenting a measurement result and a corresponding preset elasticity index in a target area of the two-dimensional ultrasonic image. According to the embodiment of the invention, manual operation in the existing human body part elasticity measurement method is reduced, and the measurement accuracy and efficiency are improved.
Description
Technical Field
The invention relates to the technical field of ultrasonic imaging, in particular to an automatic elasticity measurement method.
Background
The general procedure for elastic measurement of an examination site on a medical ultrasound device is: 1. acquiring a two-dimensional ultrasonic image; 2. the operator selects a target region of the elasticity examination on the two-dimensional ultrasonic image obtained in the step 1 through an interactive tool ROI frame provided by ultrasonic equipment; 3. the ultrasonic equipment acquires elastic data of a target area, processes the acquired elastic data according to maps selected by operators, and finally displays different elastic values in the target area on a two-dimensional image in different colors; 4. an operator selects an elastic measuring tool provided by ultrasonic equipment to select a small area from a target area on a two-dimensional image so as to obtain a specific elastic index of the small area; 5. and (5) diagnosing by the doctor according to the elasticity index obtained in the step (4).
From the above description, it can be seen that, although the elasticity data of the whole target area is obtained in step 3, the doctor also needs to manually select a measuring tool to measure for diagnosis, which is not efficient.
Disclosure of Invention
The invention provides an automatic elasticity measurement method which is used for reducing manual operation existing in the existing human body part elasticity measurement method and improving measurement accuracy and efficiency.
The invention provides an automatic elasticity measurement method, which comprises the following steps:
Acquiring a two-dimensional ultrasonic image through ultrasonic equipment;
Determining a target area which is selected by an operator and needs to be subjected to elastic detection;
acquiring elastic data of a target area through ultrasonic equipment;
according to the elasticity data, carrying out automatic elasticity measurement on the target area to obtain a measurement result;
and presenting a measurement result and a corresponding preset elasticity index in a target area of the two-dimensional ultrasonic image.
Preferably, the target region is selected by an operator via an ROI tool provided on the ultrasound device.
Preferably, the elastic data refers to data obtained by processing signals acquired by ultrasonic equipment through an ultrasonic transducer by an elastic data processing module on the ultrasonic equipment.
Preferably, the automatic elasticity measurement is automatically started after the elasticity data of the target area is acquired.
Preferably, the automatic elasticity measurement of the target area according to the elasticity data includes:
determining a maximum elastic position, a minimum elastic position, a maximum elastic value, a minimum elastic value, an average elastic value and an elastic value variance in a target area according to the elastic data as a first type of measurement result;
determining a human body part corresponding to the target area, and matching an elasticity index and an elasticity judgment identification rule corresponding to the human body part;
determining the identification color corresponding to each position in the target area based on the elasticity judgment identification rule according to the elasticity data, and taking the identification color and the elasticity index as a second type of measurement result;
and integrating the first type of measurement results and the second type of measurement results to obtain measurement results.
Preferably, the determining the human body part corresponding to the target area includes acquiring an inspection part designated by the operator as the human body part corresponding to the target area.
Preferably, the determining the human body part corresponding to the target area further includes intelligently identifying the human body part obtained by using the AI technology according to the two-dimensional ultrasonic image as the human body part corresponding to the target area.
Preferably, the determining, according to the elasticity data, the identification color corresponding to each position in the target area based on the elasticity judgment identification rule, and taking the identification color and the elasticity index as the second type of measurement result includes:
determining elasticity values of all positions in the target area according to the elasticity data;
Determining an elasticity index corresponding to the target area and taking the elasticity index as a third type of measurement result, wherein the elasticity index is an elasticity value interval of the human body part in a preset healthy human body;
determining an elasticity judgment identification rule corresponding to the target area, determining identification colors of all positions in the target area according to an elasticity value interval-color progression table correspondingly set in the elasticity judgment identification rule, and taking the identification colors as a fourth type of measurement result;
and integrating the third type of measurement results and the fourth type of measurement results to obtain a second type of measurement results.
Preferably, determining an elasticity judgment identification rule corresponding to the target area, determining identification colors of all positions in the target area according to an elasticity value interval-color progression table correspondingly set in the elasticity judgment identification rule, and taking the identification colors as a fourth type of measurement result includes:
Determining whether the elasticity judgment identification rule corresponding to the target area is a default common identification rule;
If the rule is a default common identification rule, determining identification colors of all positions in the target area according to an elastic value interval-color progression table in the common identification rule, and taking the identification colors as a fourth type of measurement result;
If the identification rule is not the default common identification rule, determining identification colors of all positions in the target area according to an elastic value interval-color progression table in the specific identification rule corresponding to the human body part, and taking the identification colors as a fourth type of measurement result.
Preferably, the presenting the measurement result and the corresponding preset elasticity index in the target area of the two-dimensional ultrasound image includes:
Coloring a position in the same elastic value interval in the target area by using the color with the same tone;
marking a maximum elastic position and a minimum elastic position in a target area;
And generating a data display frame of the measurement result, and displaying the maximum elasticity value, the minimum elasticity value, the average elasticity value and the elasticity value variance information in the target area in the data display frame.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart showing steps of an automatic elasticity measurement method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps for performing automatic elasticity measurement on a target area according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating the steps of elastic value coloring according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides an automatic elasticity measurement method, as shown in fig. 1, comprising the following steps:
s1, acquiring a two-dimensional ultrasonic image through ultrasonic equipment;
s2, determining a target area which is selected by an operator and needs to be subjected to elastic detection;
S3, acquiring elastic data of a target area through ultrasonic equipment;
s4, performing automatic elasticity measurement on the target area according to the elasticity data to obtain a measurement result;
And S5, presenting a measurement result and a corresponding preset elasticity index in a target area of the two-dimensional ultrasonic image.
The working principle and beneficial effects of the technical scheme are as follows: acquiring a two-dimensional ultrasonic image of a human body through ultrasonic equipment; determining a target area which is selected by an operator and needs to be subjected to elastic detection; acquiring elastic data of a target area through ultrasonic equipment; according to the elastic data, automatic elastic measurement is carried out on the target area to obtain a measurement result, so that the traditional step of selecting a small area in the target area on a two-dimensional image by an elastic measurement tool provided by an operator for selecting ultrasonic equipment to obtain a specific elastic index of the small area is reduced; and displaying a measurement result and a corresponding preset elastic index in a target area of the two-dimensional ultrasonic image for diagnosis by a doctor. The embodiment solves the manual selection operation existing in the existing human body part elasticity measurement method, and improves the measurement efficiency.
In a preferred embodiment, the target region is selected by an operator via an ROI tool provided on the ultrasound device.
The working principle and beneficial effects of the technical scheme are as follows: the operator selects the target region through the ROI tool provided on the ultrasound apparatus, thereby conveniently limiting various other ways of introducing the diagnostic criteria by manually designating the examination site and conveniently matching the diagnostic criteria, such as automatically deriving from a preset selected prior to the examination (this step is a necessary step for the ultrasound examination), automatically identifying the examination site in the two-dimensional image using AI techniques, or providing a way for the operator to directly input the examination site.
In a preferred embodiment, the elastic data refers to data obtained by processing signals acquired by the ultrasonic device through the ultrasonic transducer by an elastic data processing module on the ultrasonic device.
The working principle and beneficial effects of the technical scheme are as follows: the ultrasonic signals reflected by the human body part are obtained through the ultrasonic transducer, and the elastic data are obtained through processing of an elastic data processing module (also called an ultrasonic information number processing module) of the ultrasonic equipment, so that the conversion from the original ultrasonic signals to the available elastic data is realized, and the subsequent human body part elastic analysis is convenient.
In a preferred embodiment, the automatic elasticity measurement is automatically initiated after the elasticity data of the target area is acquired.
The working principle and beneficial effects of the technical scheme are as follows: after the elastic data of the target area are acquired, automatic elastic measurement is automatically started, and an operator is not required to manually start the device, so that the data processing efficiency is improved.
In a preferred embodiment, as shown in fig. 2, performing an automatic elasticity measurement of the target area based on the elasticity data to obtain a measurement result includes:
step S41, determining related data such as a maximum elasticity position, a minimum elasticity position, a maximum elasticity value, a minimum elasticity value, an average elasticity value, an elasticity value variance and the like in a target area according to the elasticity data as a first type of measurement result;
Step S42, determining a human body part corresponding to the target area, and matching an elasticity index and an elasticity judgment identification rule corresponding to the human body part;
Step S43, determining the identification color corresponding to each position in the target area based on the elasticity judgment identification rule according to the elasticity data, and taking the identification color and the elasticity index as a second type of measurement result;
And S44, integrating the first type of measurement results and the second type of measurement results to obtain measurement results.
The working principle and beneficial effects of the technical scheme are as follows: in the process of automatic elasticity measurement, the maximum elasticity position, the minimum elasticity position, the maximum elasticity value, the minimum elasticity value, the average elasticity value, the elasticity value variance and other related data in a target area are determined through elasticity data and serve as first measurement results, the human body part corresponding to the target area is determined, and the elasticity index and the elasticity judgment identification rule corresponding to the human body part are matched, wherein elasticity diagnosis standards (the elasticity judgment identification rule and the elasticity index) used in each part in clinic are required to be introduced into an automatic elasticity measurement reference database in advance, the corresponding elasticity diagnosis standards are automatically matched according to the currently checked part during automatic elasticity measurement, the elasticity data of the target area are processed through the data of the diagnosis standards, and finally different elasticity values are identified on a two-dimensional ultrasonic image through colors in the elasticity diagnosis standards. The doctor can quickly obtain the diagnosis result through the color of the target area on the two-dimensional ultrasonic image. Therefore, the automatic identification of the human body part and the automatic matching of the elastic diagnosis standard of the human body part are realized, a doctor can directly see the judgment result of the current human body part type on the diagnosis result, the corresponding elastic diagnosis standard of the human body part can be directly known from the diagnosis result, the doctor is not required to consult related data, and the working efficiency of medical staff is improved.
In a preferred embodiment, determining the human body part corresponding to the target area includes acquiring an examination part designated by the operator as the human body part corresponding to the target area.
The working principle and beneficial effects of the technical scheme are as follows: by manually designating the site of examination and facilitating matching the diagnostic criteria, it is convenient to limit various other ways of introducing the diagnostic criteria, such as automatic deduction from a pre-set selected prior to examination, which is a necessary step for ultrasound examination.
In a preferred embodiment, determining the human body part corresponding to the target area further includes using a human body part recognition result obtained by intelligent recognition using AI technology according to the two-dimensional ultrasonic image as the human body part corresponding to the target area.
The working principle and beneficial effects of the technical scheme are as follows: the elastic value and the elastic characteristics of the target area of the relative distribution relation existing on the two-dimensional ultrasonic image are intelligently identified through an AI technology, and the elastic characteristics of the target area are matched and searched in a preset elastic characteristics of the target area-human body part identification result table, so that a human body part identification result is obtained as a human body part corresponding to the target area. The human body part corresponding to the target area can be determined by identifying the appearance characteristics of the target area through the image in the AI technology, so that a more intelligent and convenient automatic identification method is provided, and the identification efficiency is improved.
In a preferred embodiment, determining, according to the elasticity data, an identification color corresponding to each position in the target area based on the elasticity judgment identification rule, and taking the identification color and the elasticity index as the second type of measurement result includes:
determining elasticity values of all positions in the target area according to the elasticity data;
Determining an elasticity index corresponding to the target area and taking the elasticity index as a third type of measurement result, wherein the elasticity index is an elasticity value interval of the human body part in a preset healthy human body;
determining an elasticity judgment identification rule corresponding to the target area, determining identification colors of all positions in the target area according to an elasticity value interval-color progression table correspondingly set in the elasticity judgment identification rule, and taking the identification colors as a fourth type of measurement result;
And integrating the third type of measurement results and the fourth type of measurement results to obtain the second type of measurement results.
The working principle and beneficial effects of the technical scheme are as follows: the elasticity values of all positions in the target area are determined through the elasticity data, the subsequent coloring work of the elasticity area of the target area is facilitated, and the elasticity index corresponding to the target area is determined and used as a third type of measurement result, wherein the elasticity index is the preset elasticity value interval of the human body part in the healthy human body, so that medical staff can directly determine the elasticity index corresponding to the human body part without consulting related data, and the measurement efficiency is improved. The elastic judgment identification rule corresponding to the target area is determined, and the identification colors of all positions in the target area are determined according to the elastic value interval-color progression table correspondingly arranged in the elastic judgment identification rule and are used as fourth measurement results, so that all points on the target area can be colored and displayed according to the fourth measurement results, a doctor can determine the distribution condition of the elastic values according to the color distribution on the ultrasonic two-dimensional image, and quick diagnosis is convenient.
In a preferred embodiment, determining an elasticity judgment identification rule corresponding to the target area, determining identification colors of all positions in the target area according to an elasticity value interval-color progression table correspondingly set in the elasticity judgment identification rule, and taking the identification colors as a fourth type of measurement result, wherein the fourth type of measurement result comprises:
Determining whether the elasticity judgment identification rule corresponding to the target area is a default common identification rule;
If the rule is a default common identification rule, determining identification colors of all positions in the target area according to an elastic value interval-color progression table in the common identification rule, and taking the identification colors as a fourth type of measurement result;
If the identification rule is not the default common identification rule, determining identification colors of all positions in the target area according to an elastic value interval-color progression table in the specific identification rule corresponding to the human body part, and taking the identification colors as a fourth type of measurement result.
The working principle and beneficial effects of the technical scheme are as follows: by adopting a common identification rule, different elastic values are mapped to colors corresponding to maps, referring to fig. 3, a doctor can conveniently and rapidly diagnose according to the distribution condition of the elastic values determined by color distribution on an ultrasonic two-dimensional image, and a value of a section is expressed as a color by adopting a grading coloring mode according to clinical diagnosis reference standards corresponding to anatomical parts by adopting a special identification rule corresponding to human body parts, so that the doctor can directly judge whether the abnormality exists on a grading coloring chart from the color. The method and the device can judge whether the lesion exists or is normal according to the color given on the image without turning over the diagnosis standard corresponding to the human body part, which is equivalent to directly applying the standard on the image, thereby improving the detection efficiency.
In a preferred embodiment, presenting the measurement result and the corresponding preset elasticity index in the target area of the two-dimensional ultrasound image comprises:
Coloring a position in the same elastic value interval in the target area by using the color with the same tone;
marking a maximum elastic position and a minimum elastic position in a target area;
And generating a data display frame of the measurement result, and displaying the maximum elasticity value, the minimum elasticity value, the average elasticity value and the elasticity value variance information in the target area in the data display frame.
The working principle and beneficial effects of the technical scheme are as follows: the positions in the same elastic value interval in the target area are colored by using the same-tone color, so that a doctor can conveniently and directly judge whether the color is abnormal or not on a colored chart, and the maximum elastic position and the minimum elastic position are marked in the target area; and a data display frame of the measurement result is generated, and the maximum elasticity value, the minimum elasticity value, the average elasticity value and the elasticity value variance information in the target area are displayed in the data display frame, so that doctors can have visual reference standards, and the detection efficiency and the detection accuracy are improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (4)
1. An automatic elasticity measuring method, comprising:
Acquiring a two-dimensional ultrasonic image through ultrasonic equipment;
Determining a target area which is selected by an operator and needs to be subjected to elastic detection;
acquiring elastic data of a target area through ultrasonic equipment;
according to the elasticity data, carrying out automatic elasticity measurement on the target area to obtain a measurement result;
Presenting a measurement result and a corresponding preset elasticity index in a target area of the two-dimensional ultrasonic image;
Wherein, the presenting the measurement result and the corresponding preset elasticity index in the target area of the two-dimensional ultrasonic image includes:
Coloring a position in the same elastic value interval in the target area by using the color with the same tone;
marking a maximum elastic position and a minimum elastic position in a target area;
Generating a data display frame of the measurement result, and displaying the maximum elasticity value, the minimum elasticity value, the average elasticity value and the elasticity value variance information in the target area in the data display frame;
Wherein, the automatic elasticity measurement of the target area according to the elasticity data to obtain a measurement result includes:
determining a maximum elastic position, a minimum elastic position, a maximum elastic value, a minimum elastic value, an average elastic value and an elastic value variance in a target area according to the elastic data as a first type of measurement result;
determining a human body part corresponding to the target area, and matching an elasticity index and an elasticity judgment identification rule corresponding to the human body part;
determining the identification color corresponding to each position in the target area based on the elasticity judgment identification rule according to the elasticity data, and taking the identification color and the elasticity index as a second type of measurement result;
integrating the first type of measurement results and the second type of measurement results to obtain measurement results;
the human body part corresponding to the determined target area further comprises a human body part identification result obtained by intelligent identification by using an AI technology according to the two-dimensional ultrasonic image, and the human body part identification result is used as the human body part corresponding to the target area;
The determining the identification color corresponding to each position in the target area based on the elasticity judgment identification rule according to the elasticity data, and taking the identification color and the elasticity index as the second type of measurement result comprises:
determining elasticity values of all positions in the target area according to the elasticity data;
Determining an elasticity index corresponding to the target area and taking the elasticity index as a third type of measurement result, wherein the elasticity index is an elasticity value interval of the human body part in a preset healthy human body;
determining an elasticity judgment identification rule corresponding to the target area, determining identification colors of all positions in the target area according to an elasticity value interval-color progression table correspondingly set in the elasticity judgment identification rule, and taking the identification colors as a fourth type of measurement result;
integrating the third type of measurement results and the fourth type of measurement results to obtain second type of measurement results;
The determining the elasticity judging identification rule corresponding to the target area, determining the identification colors of all positions in the target area according to the elasticity value interval-color progression table correspondingly set in the elasticity judging identification rule, and taking the identification colors as a fourth type of measurement result comprises:
Determining whether the elasticity judgment identification rule corresponding to the target area is a default common identification rule;
If the rule is a default common identification rule, determining identification colors of all positions in the target area according to an elastic value interval-color progression table in the common identification rule, and taking the identification colors as a fourth type of measurement result;
If the identification rule is not the default common identification rule, determining identification colors of all positions in the target area according to an elastic value interval-color progression table in the specific identification rule corresponding to the human body part, and taking the identification colors as a fourth type of measurement result.
2. An automatic elasticity measuring method according to claim 1, characterized in that the target area is selected by an operator via an ROI tool provided on the ultrasound device.
3. The automatic elasticity measurement method according to claim 1, wherein the elasticity data is data obtained by processing signals acquired by the ultrasonic device through the ultrasonic transducer by an elasticity data processing module on the ultrasonic device.
4. An automatic elasticity measuring method according to claim 1, wherein the automatic elasticity measurement is automatically started after the elasticity data of the target area is acquired.
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