Time-hardness curve drawing system and method based on two-dimensional elastic imaging

Abstract

Provided in the present invention are a time-hardness curve drawing system and method based on two-dimensional elastic imaging. The system comprises: an elastic imaging module, which is configured to perform elastic imaging on tissue; a target region determination module, which is configured to set a target region-of-interest and extract a hardness representation value of the target region-of-interest on the basis of two-dimensional elastic imaging; a curve drawing module, which is configured to fit and draw a time-hardness curve on the basis of time representation data and hardness representation data of each two-dimensional elastic image frame; and a hardness difference calculation module, which is configured to automatically identify the maximum hardness value and the minimum hardness value within one cycle in the time-hardness curve, calculate the hardness difference between the maximum hardness value and the minimum hardness value, and display hardness difference data. By means of the present invention, the health degree of muscle is effectively evaluated, and the accuracy and effectiveness of muscle evaluation are improved.

Description

System and method for drawing time-hardness curve based on two-dimensional elastic imaging Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a system and method for drawing a time-hardness curve based on two-dimensional elastic imaging. Background Art

[0002] Currently, elastography has been widely studied and used as an imaging modality that can reveal tissue stiffness. This technology uses ultrafast ultrasound to capture propagating signals in tissue, thereby calculating tissue stiffness and imaging it. The Qbox function is then applied to measure the stiffness of target areas within the tissue.

[0003] However, in some clinical applications, such as musculoskeletal ultrasound, it is necessary to assess the changes in muscle hardness as the muscle relaxes and tenses. Ideally, muscles are very elastic, soft when relaxed and tight when exerting force, which is a great state. This requires not only the ability to quantify hardness information, but also the ability to record the changes in tissue hardness in the target area over time. Although existing technologies can quantitatively assess tissue hardness, they can only display the hardness value of the current frame and cannot record the changes in hardness value over time.

[0004] Therefore, in order to overcome the above technical problems, the present invention provides a system and method for drawing a time-hardness curve based on two-dimensional elastic imaging.

[0005] Summary of the Invention

[0006] The present invention provides a system and method for drawing a time-hardness curve based on two-dimensional elastic imaging. The system is used to determine the tissue range of the target area of ​​interest and calculate the hardness value within the range for each frame of elastic imaging. As time goes by, the hardness changes of the muscle during relaxation and tension are recorded, and the time-hardness curve is drawn below the image. The maximum and minimum hardness values ​​are automatically identified and the hardness difference is displayed, thereby effectively evaluating the health of the muscle and improving the accuracy and effectiveness of muscle assessment.

[0007] A system for drawing a time-hardness curve based on two-dimensional elastic imaging, comprising:

[0008] An elastic imaging module, used for performing elastic imaging on tissues to obtain two-dimensional elastic images;

[0009] A target region determination module is used to set a target region of interest in the two-dimensional elastic image and extract a hardness representation value of the target region of interest;

[0010] A curve drawing module is used to fit and draw a time-hardness curve based on the time and hardness characterization values ​​of each frame of the two-dimensional elastic image;

[0011] The hardness difference determination module is used to automatically identify the maximum hardness value and the minimum hardness value within a period in the time hardness curve, calculate the hardness difference between the maximum hardness value and the minimum hardness value, and display the hardness difference data.

[0012] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, an elastic imaging module, comprises:

[0013] The elastic imaging module includes two-dimensional tissue imaging and two-dimensional elastic imaging displayed side by side;

[0014] Elastography includes shear wave elastography and strain rate elastography.

[0015] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, the target area determination module includes:

[0016] A region acquisition submodule is used to determine a position to be detected and a target range of the position to be detected in the two-dimensional elastic image, and to determine a target region of interest based on the position to be detected and the target range of the position to be detected, wherein the target region of interest includes one or more circular regions or sampling points;

[0017] a marking submodule, used for marking regions of interest in two-dimensional tissue imaging and two-dimensional elastic imaging;

[0018] The extraction submodule is used to extract the hardness representation value of the target area of ​​interest.

[0019] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, the extraction submodule includes:

[0020] A region processing unit, configured to divide the target region of interest into a plurality of sub-target regions of interest according to a unit size;

[0021] A first calculation unit is configured to calculate the Young's modulus of a sub-target region of interest or a sampling point when the elastic imaging is shear wave elastic imaging;

[0022] a second calculation unit, configured to calculate an average Young's modulus of the target region of interest based on the Young's modulus of the sub-target region of interest when the elastic imaging is shear wave elastic imaging;

[0023] The second calculation unit is further configured to calculate the strain rate value of the sub-target region of interest when the elastic imaging is strain rate elastic imaging.

[0024] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, wherein the first calculation unit comprises:

[0025] The first parameter acquisition subunit is used to acquire the density of the tissue in the current sub-region of interest and the speed of the shear wave in the current sub-region of interest;

[0026] The first calculation subunit is configured to calculate the Young's modulus of the sub-target region of interest based on the density of the tissue of the current sub-target region of interest and the velocity of the shear wave in the current sub-target region of interest; E i =3*ρ i *c i 2 ;

[0027] Among them, E i Represents the Young's modulus of the current sub-target area of ​​interest; ρ i Indicates the density of the tissue in the current sub-target area of ​​interest; c i The velocity of the shear wave in the current sub-region of interest; i represents the sequence number of the sub-region of interest.

[0028] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, the second calculation unit includes:

[0029] The second parameter acquisition subunit is used to determine the total number of sub-target regions of interest in the target region of interest;

[0030] A second calculation subunit is configured to calculate an average Young's modulus of the target region of interest based on the total number of the target regions of interest in the target region of interest;

[0031] Among them, E mean represents the average Young's modulus of the target region of interest; N represents the total number of sub-target regions of interest within the target region of interest.

[0032] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, wherein the curve drawing module comprises:

[0033] A parameter acquisition submodule is used to determine the time corresponding to acquiring each frame of the two-dimensional elastic image and to determine the hardness representation value corresponding to each frame of the two-dimensional elastic image;

[0034] Coordinate system construction submodule, used for;

[0035] Construct a target coordinate system with time as the horizontal coordinate and hardness characterization value as the vertical coordinate;

[0036] Mapping the time corresponding to each frame of the two-dimensional elastic image and the hardness representation value corresponding to each frame of the two-dimensional elastic image in the target coordinate system to obtain multiple mapping points;

[0037] The curve fitting submodule is used to fit multiple mapping points in the target coordinate system to obtain the time hardness curve.

[0038] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, wherein the curve fitting submodule comprises:

[0039] A function determination unit, configured to determine the image data of each frame in the time hardness curve according to the following function; j =(t j ,E mean,j );

[0040] Among them, P j represents the image data corresponding to the jth frame in the time hardness curve; t j Indicates the time corresponding to the jth frame; E mean,j represents the average hardness value corresponding to the j-th frame; j represents the image frame number.

[0041] Preferably, a system for drawing a time-hardness curve based on two-dimensional elastic imaging, and a hardness difference determination module, include:

[0042] The curve reading submodule is used to read the time hardness curve, determine the change characteristics of the time hardness curve, and determine the target period of the time hardness curve based on the change characteristics of the time hardness curve;

[0043] The curve marking submodule is used to mark the time hardness curve within a target period and determine the sub-time hardness curve to be identified;

[0044] The identification submodule is used to read the maximum hardness value and the minimum hardness value of the sub-time hardness curve to be identified; the hardness difference determination submodule is used to determine the hardness difference of the target area of ​​interest within the target period based on the minimum hardness value and the maximum hardness value;

[0045] The display submodule is used to determine the hardness difference of each target cycle respectively, and display the hardness difference within multiple target cycles on a preset display terminal.

[0046] A method for drawing a time-hardness curve based on two-dimensional elastic imaging, comprising:

[0047] Step 1: Perform elastic imaging on the tissue to obtain a two-dimensional elastic image;

[0048] Step 2: Set a target region of interest in the two-dimensional elastic image and extract the hardness representation value of the target region of interest;

[0049] Step 3: Based on the time and hardness characterization values ​​of each frame of the two-dimensional elastic image, a time-hardness curve is fitted and drawn;

[0050] Step 4: Automatically identify the maximum hardness value and the minimum hardness value within a period in the time hardness curve, calculate the hardness difference between the maximum hardness value and the minimum hardness value, and display the hardness difference data.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. By determining the tissue range of the target area of ​​interest and calculating the hardness value within this range for each frame of elastic imaging, the changes in muscle hardness during relaxation and tension are recorded over time. A time-hardness curve is drawn below the image, and the maximum and minimum hardness values ​​are automatically identified, displaying the hardness difference. This effectively assesses the health of the muscle and improves the accuracy and effectiveness of muscle assessment.

[0053] 2. By recording the time corresponding to each frame of shear wave two-dimensional elastic image and the hardness characterization value corresponding to each frame of shear wave two-dimensional elastic image, the mapping in the target coordinate system is effectively realized, and the mapping points are then fitted to obtain the time-hardness curve, thereby improving the accuracy and effectiveness of obtaining the time-hardness curve. At the same time, based on the time-hardness curve, the change of tissue hardness in the target area of ​​interest over time can be effectively realized, thereby making the analysis of the tissue in the target area of ​​interest more objective, thereby effectively understanding the health status of the tissue in the target area of ​​interest.

[0054] 3. By determining the target period, the time hardness curve can be segmented, and the hardness difference of the target area of ​​interest within multiple target periods can be determined. This can effectively ensure the authenticity and objectivity of the obtained hardness difference data, and ensure the effectiveness of the tissue analysis of the target area of ​​interest.

[0055] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0056] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0058] FIG1 is a structural diagram of a system for drawing a time-hardness curve based on two-dimensional elastic imaging according to an embodiment of the present invention;

[0059] FIG2 is a time-hardness curve diagram of a system for drawing a time-hardness curve based on two-dimensional elastic imaging in an embodiment of the present invention;

[0060] FIG3 is a workflow diagram of a method for drawing a time-hardness curve based on two-dimensional elastic imaging in an embodiment of the present invention;

[0061] FIG4 is a flow chart of a method for drawing a time-hardness curve based on two-dimensional elastic imaging according to an embodiment of the present invention;

[0062] FIG5 is a schematic diagram of selecting a region of interest in an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0064] Example 1:

[0065] This embodiment provides a system for drawing a time-hardness curve based on two-dimensional elastic imaging, as shown in FIG1 , including:

[0066] An elastic imaging module, used for performing elastic imaging on tissues to obtain two-dimensional elastic images;

[0067] A target region determination module is used to set a target region of interest in the two-dimensional elastic image and extract a hardness representation value of the target region of interest;

[0068] A curve drawing module is used to fit and draw a time-hardness curve based on the time and hardness characterization values ​​of each frame of the two-dimensional elastic image;

[0069] The hardness difference determination module is used to automatically identify the maximum hardness value and the minimum hardness value within a period in the time hardness curve, calculate the hardness difference between the maximum hardness value and the minimum hardness value, and display the hardness difference data.

[0070] In this embodiment, setting the target area of ​​interest can be determining the position to be detected in the skeletal muscle based on the image feature points, thereby determining the range parameters based on the position range of the skeletal muscle position to be detected, and transmitting the range parameters to the detection device to realize the detection of the target area of ​​interest.

[0071] In this embodiment, elastic imaging includes: shear wave imaging or strain rate elastic imaging, hardness characterization value includes: Young's modulus or strain rate, elastic imaging module includes two-dimensional tissue imaging and two-dimensional elastic imaging displayed side by side; elastic imaging includes: shear wave elastic imaging or strain rate elastic imaging.

[0072] In this embodiment, based on a two-dimensional real-time shear wave elastic imaging system, by setting the tissue range of the target area of ​​interest in advance, the hardness value within the range is calculated in each frame of elastic imaging, and the hardness changes of the muscle during relaxation and tension are recorded over time. A time-hardness curve is drawn below the image, and the maximum and minimum hardness values ​​are automatically identified, and the hardness difference is displayed. The hardness difference can quantitatively evaluate the health of the muscle. Therefore, when obtaining the hardness difference, the maximum hardness difference in multiple cycles and the average of the hardness differences corresponding to multiple cycles can be determined, where the time-hardness curve is shown in Figure 2.

[0073] The working principle and beneficial effects of the above technical solution are: by determining the tissue range of the target area of ​​interest and calculating the hardness value within this range for each frame of elastic imaging, the hardness changes of the muscle during relaxation and tension are recorded over time, and a time-hardness curve is drawn below the image. The maximum and minimum hardness values ​​are automatically identified and the hardness difference is displayed, thereby effectively evaluating the health of the muscle and improving the accuracy and effectiveness of muscle assessment.

[0074] Example 2:

[0075] Based on Example 1, this embodiment provides a system for drawing a time-hardness curve based on two-dimensional elastic imaging, and a target area determination module includes:

[0076] A region acquisition submodule is used to determine a position to be detected and a target range of the position to be detected in the two-dimensional elastic image, and to determine a target region of interest based on the position to be detected and the target range of the position to be detected, wherein the target region of interest includes one or more circular regions or pixels;

[0077] a marking submodule, used for marking regions of interest in two-dimensional tissue imaging and two-dimensional elastic imaging;

[0078] The extraction submodule is used to extract the hardness representation value of the target area of ​​interest.

[0079] In this embodiment, the region of interest is selected as shown in FIG5 .

[0080] In this embodiment, the device to be detected may be a device used to monitor a target range in two-dimensional elastic imaging.

[0081] In this embodiment, the hardness characterization value may include: Young's modulus or strain rate.

[0082] The working principle and beneficial effects of the above technical solution are: by setting the target area of ​​interest, the detection device is effectively controlled to detect the target area of ​​interest, and then the hardness characterization value of the area of ​​interest is accurately extracted, thereby improving the accuracy of muscle assessment.

[0083] Example 3:

[0084] Based on Example 2, this embodiment provides a system for drawing a time-hardness curve based on two-dimensional elastic imaging, and the extraction submodule includes:

[0085] A region processing unit, configured to divide the target region of interest into a plurality of sub-target regions of interest according to a unit size;

[0086] A first calculation unit is configured to calculate the Young's modulus of a sub-target region of interest or a sampling point when the elastic imaging is shear wave elastic imaging;

[0087] a second calculation unit, configured to calculate an average Young's modulus of the target region of interest based on the Young's modulus of the sub-target region of interest when the elastic imaging is shear wave elastic imaging;

[0088] The second calculation unit is further configured to calculate a strain rate value of the sub-target region of interest when the elastic imaging is strain rate elastic imaging;

[0089] The first computing unit includes:

[0090] The first parameter acquisition subunit is used to acquire the density of the tissue in the current sub-region of interest and the speed of the shear wave in the current sub-region of interest;

[0091] The first calculation subunit is configured to calculate the Young's modulus of the sub-target region of interest based on the density of the tissue of the current sub-target region of interest and the velocity of the shear wave in the current sub-target region of interest; E i =3*ρ i *c i 2 ;

[0092] Among them, E i Indicates the Young's modulus of the current sub-target area of ​​interest. The international unit is kPa (kilopascal), which is used to indicate the hardness or elasticity of the propagation medium. ρ i Indicates the density of the tissue in the current sub-target area of ​​interest; c i The velocity of the shear wave in the current sub-region of interest; i represents the serial number of the sub-region of interest;

[0093] The second computing unit includes:

[0094] The second parameter acquisition subunit is used to determine the total number of sub-target regions of interest in the target region of interest;

[0095] A second calculation subunit is configured to calculate an average Young's modulus of the target region of interest based on the total number of the target regions of interest in the target region of interest;

[0096] Among them, E mean represents the average Young's modulus of the target region of interest; N represents the total number of sub-target regions of interest within the target region of interest.

[0097] In this embodiment, the unit size may be set in advance and used to divide the target region of interest, wherein the division of the target region of interest based on the unit size is equal-interval division.

[0098] The working principle and beneficial effect of the above technical solution are: by calculating the Young's modulus of each sub-target region of interest, the average Young's modulus of the target region of interest is accurately determined, thereby improving the comprehensiveness and accuracy of obtaining the hardness value of the target region of interest.

[0099] Example 4:

[0100] Based on Example 1, this embodiment provides a system for drawing a time-hardness curve based on two-dimensional elastic imaging, and the curve drawing module includes:

[0101] A parameter acquisition submodule is used to determine the time corresponding to acquiring each frame of shear wave two-dimensional elastic image and determine the hardness representation value corresponding to each frame of shear wave two-dimensional elastic image;

[0102] Coordinate system construction submodule, used for;

[0103] Construct a target coordinate system with time as the horizontal coordinate and hardness characterization value as the vertical coordinate;

[0104] Mapping the time corresponding to each frame of the two-dimensional elastic image and the hardness representation value corresponding to each frame of the two-dimensional elastic image in the target coordinate system to obtain multiple mapping points;

[0105] The curve fitting submodule is used to fit multiple mapping points in the target coordinate system to obtain the time hardness curve;

[0106] Curve fitting submodule, including:

[0107] A function determination unit, configured to determine the image data of each frame in the time hardness curve according to the following function; j =(t j ,E mean,j );

[0108] Among them, P j represents the image data corresponding to the jth frame in the time hardness curve; t j Indicates the time corresponding to the jth frame; E mean,j represents the average Young's modulus corresponding to the j-th frame; j represents the image frame number.

[0109] The working principle and beneficial effects of the above technical solution are: by recording the time corresponding to each frame of two-dimensional elastic image and the hardness characterization value corresponding to each frame of two-dimensional elastic image, it is possible to effectively realize mapping in the target coordinate system, and then fit the mapping points to obtain the time-hardness curve, thereby improving the accuracy and effectiveness of obtaining the time-hardness curve. At the same time, based on the time-hardness curve, it is possible to effectively realize the change of the hardness of the tissue in the target area of ​​interest over time, thereby making the analysis of the tissue in the target area of ​​interest more objective, thereby effectively understanding the health status of the tissue in the target area of ​​interest.

[0110] Example 5:

[0111] Based on Example 1, this embodiment provides a system for drawing a time-hardness curve based on two-dimensional elastic imaging, and a hardness difference determination module, including:

[0112] The curve reading submodule is used to read the time hardness curve, determine the change characteristics of the time hardness curve, and determine the target period of the time hardness curve based on the change characteristics of the time hardness curve;

[0113] The curve marking submodule is used to mark the time hardness curve within a target period and determine the sub-time hardness curve to be identified;

[0114] An identification submodule, used to read the maximum hardness value and the minimum hardness value of the sub-time hardness curve to be identified;

[0115] a hardness difference determination submodule, for determining a hardness difference of a target area of ​​interest within a target period based on a minimum hardness value and a maximum hardness value;

[0116] The display submodule is used to determine the hardness difference of each target cycle respectively, and display the hardness difference within multiple target cycles on a preset display terminal.

[0117] In this embodiment, the change characteristics of the time hardness curve can be based on the amplitude and frequency of the time hardness curve to determine the change law of the time Young's modulus, and the target period can be effectively obtained through the change law of the time hardness curve.

[0118] In this embodiment, the sub-time hardness curve to be identified is a curve corresponding to a target period in the time hardness curve.

[0119] In this embodiment, the display terminal may be a monitoring terminal such as a mobile phone or a computer, and the change process of the hardness difference of the target area of ​​interest can be effectively determined through the display terminal.

[0120] The working principle and beneficial effects of the above technical solution are: by determining the target period, the time hardness curve can be segmented, and then by determining the hardness difference of the target area of ​​interest within multiple target periods, the authenticity and objectivity of the obtained hardness difference data can be effectively guaranteed, and the effectiveness of the tissue analysis of the target area of ​​interest can be guaranteed.

[0121] Example 6:

[0122] This embodiment provides

[0123] A method for drawing a time-hardness curve based on two-dimensional elastic imaging, as shown in FIG3-4, includes:

[0124] Step 1: Perform elastic imaging on the tissue to obtain a two-dimensional elastic image;

[0125] Step 2: Set a target region of interest in the two-dimensional elastic image and extract the hardness representation value of the target region of interest;

[0126] Step 3: Based on the time and hardness characterization values ​​of each frame of the two-dimensional elastic image, a time-hardness curve is fitted and drawn;

[0127] Step 4: Automatically identify the maximum hardness value and the minimum hardness value within a period in the time hardness curve, calculate the hardness difference between the maximum hardness value and the minimum hardness value, and display the hardness difference data.

[0128] The working principle and beneficial effects of the above technical solution are: by determining the tissue range of the target area of ​​interest and calculating the hardness value within this range for each frame of elastic imaging, the hardness changes of the muscle during relaxation and tension are recorded over time, and a time-hardness curve is drawn below the image. The maximum and minimum hardness values ​​are automatically identified and the hardness difference is displayed, thereby effectively evaluating the health of the muscle and improving the accuracy and effectiveness of muscle assessment.

[0129] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A system for drawing a time-hardness curve based on two-dimensional elastic imaging, characterized in that: include: An elastic imaging module, used for performing elastic imaging on tissues to obtain a two-dimensional elastic image; A target region determination module is used to set a target region of interest in the two-dimensional elastic image and extract a hardness characterization value of the target region of interest; A curve drawing module, used for fitting and drawing a time-hardness curve based on the time and hardness characterization values ​​of each frame of the two-dimensional elastic image; The hardness difference determination module is used to automatically identify the maximum hardness value and the minimum hardness value within a cycle in the time hardness curve, calculate the hardness difference between the maximum hardness value and the minimum hardness value, and display the hardness difference data.

2. A system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 1, characterized in that: Elastography module, including: The elastic imaging module includes two-dimensional tissue imaging and two-dimensional elastic imaging displayed side by side; Elastic imaging includes shear wave elastography or strain rate elastography.

3. The system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 1, characterized in that: The target area determination module includes: A region acquisition submodule is used to determine a position to be detected and a target range of the position to be detected in the two-dimensional elastic image, and at the same time, determine an interesting target region based on the position to be detected and the target range of the position to be detected, wherein the interesting target region includes one or more circular regions or sampling points; A marking submodule, used for marking a region of interest in two-dimensional tissue imaging and two-dimensional elastic imaging; The extraction submodule is used to extract the hardness characterization value of the target area of ​​interest.

4. The system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 3, characterized in that: The extraction submodule is used to extract the hardness characterization value of the target area of ​​interest, including: The region processing unit is used to divide the target region of interest into multiple sub-regions of interest according to the unit size. Target area; A first calculation unit is used to calculate the Young's modulus of the sub-target region of interest or the sampling point when the elastic imaging is shear wave elastic imaging; A second calculation unit is used to calculate an average Young's modulus of the target region of interest based on the Young's modulus of the sub-target region of interest when the elastic imaging is shear wave elastic imaging; The second calculation unit is further configured to calculate the strain rate value of the sub-target region of interest when the elastic imaging is strain rate elastic imaging.

5. The system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 4, characterized in that: The first computing unit comprises: The first parameter acquisition subunit is used to acquire the density of the tissue in the current sub-interest target region and the speed of the shear wave in the current sub-interest region; A first calculation subunit is used to calculate the Young's modulus of the sub-target region of interest based on the density of the tissue of the current sub-target region of interest and the speed of the shear wave in the current sub-target region of interest; E i =3*ρ i *c i 2 ; Among them, E i Represents the Young's modulus of the current sub-target area of ​​interest; ρ i Indicates the density of the tissue in the current sub-target area of ​​interest; c i The speed of the shear wave in the current sub-region of interest; i represents the serial number value of the sub-region of interest.

6. The system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 4, characterized in that: The second computing unit comprises: The second parameter acquisition subunit is used to determine the total number of sub-interest target regions in the interest target region; A second calculation subunit is used to calculate an average Young's modulus of the target region of interest based on the total number of the target regions of interest in the target region of interest; Among them, E mean represents the average Young's modulus of the target region of interest; N represents the total number of sub-target regions of interest within the target region of interest.

7. The system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 1, characterized in that: Curve drawing module, including: A parameter acquisition submodule, used to determine the time corresponding to acquiring each frame of the two-dimensional elastic image, and to determine the hardness characterization value corresponding to each frame of the two-dimensional elastic image; Coordinate system construction submodule, used for; Construct a target coordinate system with time as the horizontal coordinate and hardness characterization value as the vertical coordinate; Mapping the time corresponding to each frame of the two-dimensional elastic image and the hardness representation value corresponding to each frame of the two-dimensional elastic image in the target coordinate system to obtain a plurality of mapping points; The curve fitting submodule is used to fit multiple mapping points in the target coordinate system to obtain the time hardness curve.

8. The system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 7, characterized in that: Curve fitting submodule, including: A function determination unit, used to determine the image data of each frame in the time hardness curve according to the following function; P j =(t j ,E mean,j ); Among them, P j represents the image data corresponding to the jth frame in the time hardness curve; t j represents the time corresponding to the jth frame; E mean,j represents the average hardness value corresponding to the j-th frame; j represents the image frame sequence number.

9. The system for drawing a time-hardness curve based on two-dimensional elastic imaging according to claim 1, characterized in that: Hardness difference determination module, including: A curve reading submodule, used to read the time hardness curve, determine the change characteristics of the time hardness curve, and determine the target period of the time hardness curve based on the change characteristics of the time hardness curve; The curve marking submodule is used to mark the time hardness curve within a target period and determine the sub-time hardness curve to be identified; The identification submodule is used to read the maximum hardness value and the minimum hardness value of the sub-time hardness curve to be identified; the hardness difference determination submodule is used to determine the hardness difference of the target area of ​​interest within the target period based on the minimum hardness value and the maximum hardness value; The display submodule is used to determine the hardness difference of each target cycle and display the hardness difference of multiple target cycles. The hardness difference is displayed on the preset display end.

10. A method for drawing a time-hardness curve based on two-dimensional elastic imaging, characterized in that: include: Step 1: Perform elastic imaging on the tissue to obtain a two-dimensional elastic image; Step 2: setting a target region of interest in the two-dimensional elastic image, and extracting a hardness representation value of the target region of interest; Step 3: Based on the time and hardness characterization values ​​of each frame of the two-dimensional elastic image, a time-hardness curve is fitted and drawn; Step 4: Automatically identify the maximum hardness value and the minimum hardness value within a cycle in the time hardness curve, calculate the hardness difference between the maximum hardness value and the minimum hardness value, and display the hardness difference data.

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