Intelligent management and control method and device of myocardial strain analysis system

Abstract

The application relates to the technical field of myocardial strain analysis systems, and discloses an intelligent management and control method and device for a myocardial strain analysis system, which comprises the following steps: when a user logs in the myocardial strain analysis system and has a myocardial strain analysis demand, target cardiograms are determined from a preset heart image database according to analysis demand parameters of the user; image processing is performed on the target cardiograms to obtain processing results corresponding to the target cardiograms; myocardial strain analysis is performed on the target cardiograms according to the processing results and the analysis demand parameters, myocardial strain analysis results corresponding to the target cardiograms are obtained, and the myocardial strain analysis results are provided for the user to check. It can be seen that the application can perform image processing and myocardial strain analysis operation on the target cardiograms based on the analysis demand parameters of the user, reduces human analysis dependence, improves the intelligence, reliability and accuracy of myocardial stress analysis, and is thus favorable for accurately determining the contraction and diastole of the heart based on the target cardiograms.

Description

Technical Field

[0001] This invention relates to the field of myocardial strain analysis system technology, and in particular to an intelligent control method and device for a myocardial strain analysis system. Background Technology

[0002] Myocardial stress, the interaction forces between myocardial cells during contraction and relaxation, is frequently used to assess cardiac function and help technicians determine the heart's contraction and relaxation patterns. Current myocardial stress analysis techniques generally involve data acquisition and analysis of cardiac images. However, these processes rely heavily on human intervention, requiring experienced technicians to screen, process, or annotate a limited number of cardiac images. This hinders the accuracy of myocardial stress analysis and consequently affects the precision of assessments of myocardial deformation capacity. Therefore, providing a method to improve the accuracy of myocardial strain analysis is crucial. Summary of the Invention

[0003] This invention provides an intelligent control method and device for a myocardial strain analysis system, which reduces reliance on human analysis and improves the intelligence, reliability and accuracy of myocardial stress analysis, thereby facilitating the accurate determination of cardiac contraction and relaxation based on target echocardiograms.

[0004] To address the aforementioned technical problems, the first aspect of this invention discloses an intelligent control method for a myocardial strain analysis system, the method comprising:

[0005] When a user logs into the myocardial strain analysis system and the user has a need for myocardial strain analysis, the system obtains the user's analysis requirement parameters; the analysis requirement parameters include at least one of myocardial motion analysis requirement parameters, myocardial deformation analysis requirement parameters, and multidimensional myocardial strain analysis requirement parameters.

[0006] Based on the analysis requirements parameters, the target echocardiogram is determined from a preset cardiac image database;

[0007] Image processing operations are performed on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram; the processing result corresponding to the target echocardiogram includes the target frame annotation result and the cardiac cycle sequence segmentation result;

[0008] Based on the processing results corresponding to the target echocardiogram and the analysis requirement parameters, a myocardial strain analysis operation is performed on the target echocardiogram to obtain the myocardial strain analysis results corresponding to the target echocardiogram, so that the myocardial strain analysis results can be viewed by the user.

[0009] As an optional implementation, in the first aspect of the present invention, the step of performing image processing operations on the target echocardiogram to obtain a processing result corresponding to the target echocardiogram includes:

[0010] Determine the cardiac structural parameters corresponding to the target echocardiogram; the cardiac structural parameters include cardiac morphological parameters and / or cardiac internal structural parameters.

[0011] Determine the target change parameters corresponding to the target echocardiogram; the target change parameters include at least one of ventricular pressure change parameters, ventricular volume change parameters, cardiac motion change parameters, and blood flow change parameters;

[0012] Based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram, target frame annotation is performed on the target echocardiogram to obtain the target frame annotation result corresponding to the target echocardiogram; the target frame annotation operation includes target systolic frame annotation operation and / or target diastolic frame annotation operation.

[0013] Based on the target frame annotation results corresponding to the target echocardiogram, the cardiac cycle segmentation parameters corresponding to the target echocardiogram are determined, and cardiac cycle segmentation operation is performed on the target echocardiogram according to the cardiac cycle segmentation parameters corresponding to the target echocardiogram to obtain the cardiac cycle sequence segmentation result corresponding to the target echocardiogram.

[0014] As an optional implementation, in the first aspect of the present invention, the step of performing myocardial strain analysis on the target echocardiogram based on the processing result corresponding to the target echocardiogram and the analysis requirement parameters to obtain the myocardial strain analysis result corresponding to the target echocardiogram includes:

[0015] Based on the processing results corresponding to the target echocardiogram, the myocardial segmentation parameters corresponding to the target echocardiogram are determined, and myocardial segmentation is performed on the target echocardiogram according to the myocardial segmentation parameters to obtain the myocardial segmentation result corresponding to the target echocardiogram; the myocardial segmentation parameters include myocardial segmentation surface type parameters and / or myocardial segmentation position parameters;

[0016] Based on the processing results corresponding to the target echocardiogram, predict the cardiac motion characteristic parameters corresponding to the target echocardiogram, and determine the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0017] Based on the myocardial segmentation results and corresponding optical flow diagrams corresponding to the target echocardiogram, the myocardial strain analysis results corresponding to the target echocardiogram are determined.

[0018] As an optional implementation, in the first aspect of the present invention, before performing target frame annotation on the target echocardiogram based on the cardiac structural parameters corresponding to the target echocardiogram and the corresponding target change parameters to obtain the target frame annotation result corresponding to the target echocardiogram, the method further includes:

[0019] Obtain the personnel parameters of the subject corresponding to the target echocardiogram; the personnel parameters include at least one of personnel physiological parameters, personnel psychological parameters, personnel exercise parameters, and personnel dietary parameters;

[0020] Based on the personnel parameters of the examinee corresponding to the target echocardiogram, determine the cardiac impact of the target echocardiogram, and based on the cardiac impact of the target echocardiogram, determine the degree of annotation impact on the target echocardiogram;

[0021] Determine whether the degree of annotation influence on the target echocardiogram is greater than or equal to a preset annotation influence threshold;

[0022] When it is determined that the degree of influence of the annotation is less than the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters and the corresponding target change parameters, so as to obtain the target frame annotation result corresponding to the target echocardiogram;

[0023] When it is determined that the degree of influence of the annotation is greater than or equal to the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters, the target change parameters, and the corresponding cardiac influence of the target echocardiogram, so as to obtain the target frame annotation result corresponding to the target echocardiogram.

[0024] As an optional implementation, in the first aspect of the present invention, determining the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram includes:

[0025] The target organ conditions of other organs associated with the heart corresponding to the target echocardiogram are determined, and the internal environment of the subject corresponding to the target echocardiogram is determined based on the target organ conditions of the other organs; the target organ conditions include organ function and / or organ location.

[0026] Based on the internal environment of the subject corresponding to the target echocardiogram, the pixel influence of the target echocardiogram is determined, and based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters, the optical flow map corresponding to the target echocardiogram is determined.

[0027] As an optional implementation, in the first aspect of the present invention, determining the pixel influence of the target echocardiogram based on the internal physical environment of the subject corresponding to the target echocardiogram includes:

[0028] Determine the field parameters of the physical field corresponding to the target echocardiogram; the field parameters include at least one of field type parameters, field intensity parameters, and field direction parameters;

[0029] Based on the field parameters of the physical field corresponding to the target echocardiogram and the corresponding internal environment of the subject, the imaging of the physical field for the heart is determined; the imaging includes cardiac imaging and background imaging.

[0030] The difference between the cardiac imaging and the background imaging is determined as the pixel impact of the target echocardiogram.

[0031] As an optional implementation, in the first aspect of the present invention, determining the optical flow map corresponding to the target echocardiogram based on the pixel influence of the target echocardiogram and the corresponding cardiac motion feature parameters includes:

[0032] The degree of influence of optical flow analysis on the target echocardiogram is determined based on the pixel influence of the target echocardiogram.

[0033] Based on the degree of influence of optical flow analysis on the target echocardiogram, determine whether the degree of influence of optical flow analysis is greater than or equal to a preset threshold for the degree of influence of analysis;

[0034] When it is determined that the influence of the optical flow analysis is less than the threshold of the influence of the analysis, the optical flow map corresponding to the target echocardiogram is determined according to the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0035] When it is determined that the influence of the optical flow analysis is greater than or equal to the threshold of the influence of the analysis, the optical flow map corresponding to the target echocardiogram is determined based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters.

[0036] A second aspect of the present invention discloses an intelligent control device for a myocardial strain analysis system, the device comprising:

[0037] The acquisition module is used to acquire the user's analysis requirement parameters when the user logs into the myocardial strain analysis system and the user has a myocardial strain analysis requirement; the analysis requirement parameters include at least one of myocardial motion analysis requirement parameters, myocardial deformation analysis requirement parameters, and multidimensional myocardial strain analysis requirement parameters;

[0038] The determination module is used to determine the target echocardiogram from a preset cardiac image database based on the analysis requirement parameters.

[0039] The image processing module is used to perform image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram; the processing result corresponding to the target echocardiogram includes the target frame annotation result and the cardiac cycle sequence segmentation result corresponding to the target echocardiogram.

[0040] The analysis module is used to perform myocardial strain analysis on the target echocardiogram based on the processing results corresponding to the target echocardiogram and the analysis requirement parameters, so as to obtain the myocardial strain analysis results corresponding to the target echocardiogram and make the myocardial strain analysis results available for viewing by the user.

[0041] As an optional implementation, in the second aspect of the present invention, the image processing module performs image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram in a specific manner including:

[0042] Determine the cardiac structural parameters corresponding to the target echocardiogram; the cardiac structural parameters include cardiac morphological parameters and / or cardiac internal structural parameters.

[0043] Determine the target change parameters corresponding to the target echocardiogram; the target change parameters include at least one of ventricular pressure change parameters, ventricular volume change parameters, cardiac motion change parameters, and blood flow change parameters;

[0044] Based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram, target frame annotation is performed on the target echocardiogram to obtain the target frame annotation result corresponding to the target echocardiogram; the target frame annotation operation includes target systolic frame annotation operation and / or target diastolic frame annotation operation.

[0045] Based on the target frame annotation results corresponding to the target echocardiogram, the cardiac cycle segmentation parameters corresponding to the target echocardiogram are determined, and cardiac cycle segmentation operation is performed on the target echocardiogram according to the cardiac cycle segmentation parameters corresponding to the target echocardiogram to obtain the cardiac cycle sequence segmentation result corresponding to the target echocardiogram.

[0046] As an optional implementation, in the second aspect of the present invention, the analysis module performs myocardial strain analysis on the target echocardiogram based on the processing result corresponding to the target echocardiogram and the analysis requirement parameters, and obtains the myocardial strain analysis result corresponding to the target echocardiogram in the following specific ways:

[0047] Based on the processing results corresponding to the target echocardiogram, the myocardial segmentation parameters corresponding to the target echocardiogram are determined, and myocardial segmentation is performed on the target echocardiogram according to the myocardial segmentation parameters to obtain the myocardial segmentation result corresponding to the target echocardiogram; the myocardial segmentation parameters include myocardial segmentation surface type parameters and / or myocardial segmentation position parameters;

[0048] Based on the processing results corresponding to the target echocardiogram, predict the cardiac motion characteristic parameters corresponding to the target echocardiogram, and determine the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0049] Based on the myocardial segmentation results and corresponding optical flow diagrams corresponding to the target echocardiogram, the myocardial strain analysis results corresponding to the target echocardiogram are determined.

[0050] As an optional implementation, in the second aspect of the present invention, the image processing module performs image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram, specifically further including:

[0051] Before performing target frame annotation on the target echocardiogram based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram to obtain the target frame annotation result, the personnel parameters of the subject corresponding to the target echocardiogram are obtained; the personnel parameters include at least one of personnel physiological parameters, personnel psychological parameters, personnel exercise parameters, and personnel dietary parameters.

[0052] Based on the personnel parameters of the examinee corresponding to the target echocardiogram, determine the cardiac impact of the target echocardiogram, and based on the cardiac impact of the target echocardiogram, determine the degree of annotation impact on the target echocardiogram;

[0053] Determine whether the degree of annotation influence on the target echocardiogram is greater than or equal to a preset annotation influence threshold;

[0054] When it is determined that the degree of influence of the annotation is less than the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters and the corresponding target change parameters, so as to obtain the target frame annotation result corresponding to the target echocardiogram;

[0055] When it is determined that the degree of influence of the annotation is greater than or equal to the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters, the target change parameters, and the corresponding cardiac influence of the target echocardiogram, so as to obtain the target frame annotation result corresponding to the target echocardiogram.

[0056] As an optional implementation, in a second aspect of the present invention, the method by which the analysis module determines the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram specifically includes:

[0057] The target organ conditions of other organs associated with the heart corresponding to the target echocardiogram are determined, and the internal environment of the subject corresponding to the target echocardiogram is determined based on the target organ conditions of the other organs; the target organ conditions include organ function and / or organ location.

[0058] Based on the internal environment of the subject corresponding to the target echocardiogram, the pixel influence of the target echocardiogram is determined, and based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters, the optical flow map corresponding to the target echocardiogram is determined.

[0059] As an optional implementation, in a second aspect of the present invention, the method by which the analysis module determines the pixel influence of the target echocardiogram based on the internal physical environment of the subject corresponding to the target echocardiogram specifically includes:

[0060] Determine the field parameters of the physical field corresponding to the target echocardiogram; the field parameters include at least one of field type parameters, field intensity parameters, and field direction parameters;

[0061] Based on the field parameters of the physical field corresponding to the target echocardiogram and the corresponding internal environment of the subject, the imaging of the physical field for the heart is determined; the imaging includes cardiac imaging and background imaging.

[0062] The difference between the cardiac imaging and the background imaging is determined as the pixel impact of the target echocardiogram.

[0063] As an optional implementation, in a second aspect of the present invention, the method by which the analysis module determines the optical flow map corresponding to the target echocardiogram based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters specifically includes:

[0064] The degree of influence of optical flow analysis on the target echocardiogram is determined based on the pixel influence of the target echocardiogram.

[0065] Based on the degree of influence of optical flow analysis on the target echocardiogram, determine whether the degree of influence of optical flow analysis is greater than or equal to a preset threshold for the degree of influence of analysis;

[0066] When it is determined that the influence of the optical flow analysis is less than the threshold of the influence of the analysis, the optical flow map corresponding to the target echocardiogram is determined according to the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0067] When it is determined that the influence of the optical flow analysis is greater than or equal to the threshold of the influence of the analysis, the optical flow map corresponding to the target echocardiogram is determined based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters.

[0068] A third aspect of the present invention discloses an intelligent control device for a myocardial strain analysis system, the device comprising:

[0069] Memory containing executable program code;

[0070] A processor coupled to the memory;

[0071] The processor calls the executable program code stored in the memory to execute the intelligent control method of the myocardial strain analysis system disclosed in the first aspect of the present invention.

[0072] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the intelligent control method of the myocardial strain analysis system disclosed in the first aspect of the present invention.

[0073] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0074] In this embodiment of the invention, when a user logs into the myocardial strain analysis system and has a need for myocardial strain analysis, a target echocardiogram is determined from a preset cardiac image database based on the user's analysis requirement parameters. Image processing is performed on the target echocardiogram to obtain the corresponding processing result. Based on the processing result and the analysis requirement parameters, myocardial strain analysis is performed on the target echocardiogram to obtain the corresponding myocardial strain analysis result, which is then available for the user to view. Therefore, implementing this invention enables image processing and myocardial strain analysis of the target echocardiogram based on the user's analysis requirement parameters, reducing reliance on manual analysis and improving the intelligence, reliability, and accuracy of myocardial stress analysis. This facilitates the accurate determination of cardiac contraction and relaxation based on the target echocardiogram. Attached Figure Description

[0075] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0076] Figure 1 This is a flowchart illustrating an intelligent control method for a myocardial strain analysis system disclosed in an embodiment of the present invention;

[0077] Figure 2 This is a flowchart illustrating another intelligent control method for a myocardial strain analysis system disclosed in an embodiment of the present invention;

[0078] Figure 3 This is a schematic diagram of the structure of an intelligent control device for a myocardial strain analysis system disclosed in an embodiment of the present invention;

[0079] Figure 4 This is a schematic diagram of the structure of an intelligent control device for another myocardial strain analysis system disclosed in an embodiment of the present invention. Detailed Implementation

[0080] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0081] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0082] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0083] This invention discloses an intelligent control method and device for a myocardial strain analysis system, which reduces reliance on human analysis and improves the intelligence, reliability and accuracy of myocardial stress analysis, thereby facilitating the accurate determination of cardiac contraction and relaxation based on target echocardiograms.

[0084] Example 1

[0085] Please see Figure 1 , Figure 1 This is a flowchart illustrating an intelligent control method for a myocardial strain analysis system disclosed in an embodiment of the present invention. Figure 1 The intelligent control method for the described myocardial strain analysis system can be applied to the analysis of myocardial strain based on echocardiography or cardiac magnetic resonance imaging, and this embodiment of the invention is not limited thereto. Optionally, this method can be implemented by an analysis and control device, which can be integrated into an analysis and control equipment (such as a smart computer, smartphone, tablet, etc.), or it can be a local server or cloud server used to process the myocardial strain analysis process, etc., and this embodiment of the invention is not limited thereto. Figure 1 As shown, the intelligent control method of this myocardial strain analysis system may include the following operations:

[0086] 101. When a user logs into the myocardial strain analysis system and has a need for myocardial strain analysis, obtain the user's analysis requirement parameters.

[0087] In this embodiment of the invention, when a user needs to perform myocardial strain analysis through the myocardial strain analysis system, the system obtains the user's analysis requirements parameters and related analysis image data, processes the related analysis image data and performs myocardial strain analysis, and provides the analysis results to the user for viewing.

[0088] Optionally, the myocardial strain analysis system may include a user login module, a subject data management module, an image data management module, an index calculation module, and a basic service module. The subject data management module allows users to perform daily operations such as adding, modifying, deleting, and filtering subject data. The image data management module allows users to collect, modify, delete, filter, and view cardiac image data. The index calculation module allows users to initiate relevant myocardial strain analysis operations. The basic service module allows users to perform log management operations or data encryption operations.

[0089] Further optionally, the analysis requirements parameters include at least one of the following: myocardial motion analysis requirements parameters, myocardial deformation analysis requirements parameters, and multidimensional myocardial strain analysis requirements parameters. Specifically, the myocardial motion analysis requirements parameters may include at least one of the following: myocardial motion velocity analysis requirements parameters, myocardial torsion angle analysis requirements parameters, myocardial torsion velocity analysis requirements parameters, and myocardial unwinding velocity analysis requirements parameters. The myocardial deformation analysis requirements parameters may include the diastolic-end-systolic myocardial fiber length difference analysis requirements parameter (i.e., (L1-L0) / L0, where L0 is the initial length during diastole and L1 is the final length during systole) and / or the diastolic-end-systolic myocardial fiber length change rate analysis requirements parameter. The multidimensional myocardial strain analysis requirements parameters may include at least one of the following: myocardial strain analysis requirements parameters under longitudinal strain (LS), myocardial strain analysis requirements parameters under circumferential strain (CS), and myocardial strain analysis requirements parameters under radial strain (RS).

[0090] 102. Based on the analysis requirements parameters, determine the target echocardiogram from the preset cardiac image database.

[0091] In this embodiment of the invention, optionally, the number of target echocardiograms may be one or more, and the target echocardiogram may be an echocardiogram or a cardiac magnetic resonance imaging.

[0092] 103. Perform image processing operations on the target echocardiogram to obtain the corresponding processing results.

[0093] In this embodiment of the invention, the processing result corresponding to the target echocardiogram includes the target frame annotation result and the cardiac cycle sequence division result, and may also include the sampling points and region segment division results of each frame of the target echocardiogram.

[0094] 104. Based on the processing results and analysis requirements parameters corresponding to the target echocardiogram, perform myocardial strain analysis on the target echocardiogram to obtain the myocardial strain analysis results corresponding to the target echocardiogram, and make the myocardial strain analysis results available for users to view.

[0095] In this embodiment of the invention, the corresponding myocardial strain analysis results for the target echocardiogram may include at least one of myocardial motion analysis results, myocardial deformation analysis results, and multi-dimensional myocardial strain analysis results. Optionally, the viewing operation may include a thumbnail viewing operation or a zoomed-in view operation.

[0096] As can be seen, implementing the embodiments of the present invention enables image processing and myocardial strain analysis of the target echocardiogram based on the user's analytical requirements parameters. In this way, by controlling the process of the myocardial strain analysis system (such as data acquisition, data processing, and data analysis), the dependence on human analysis is reduced, and the intelligence, reliability, and accuracy of myocardial stress analysis are improved. This is conducive to accurately determining the contraction and relaxation of the heart based on the target echocardiogram, so as to help technicians understand the patient's heart condition in a timely and accurate manner.

[0097] In an optional embodiment, the image processing operation on the target echocardiogram in step 103 above, to obtain the processing result corresponding to the target echocardiogram, includes:

[0098] Determine the cardiac structural parameters corresponding to the target echocardiogram;

[0099] Determine the target change parameters corresponding to the target echocardiogram;

[0100] Based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram, target frame annotation is performed on the target echocardiogram to obtain the target frame annotation results corresponding to the target echocardiogram.

[0101] Based on the target frame annotation results corresponding to the target echocardiogram, the cardiac cycle segmentation parameters corresponding to the target echocardiogram are determined, and cardiac cycle segmentation operation is performed on the target echocardiogram according to the cardiac cycle segmentation parameters corresponding to the target echocardiogram to obtain the cardiac cycle sequence segmentation results corresponding to the target echocardiogram.

[0102] In this optional embodiment, since the cardiac structure of the subject corresponding to the target echocardiogram is different, the change parameters of the heart will also be different. Therefore, it is necessary to combine the subject's cardiac structure parameters and cardiac change parameters to perform target frame annotation operation on the target echocardiogram (that is, the annotation basis of the target frame will be different depending on the subject's cardiac structure parameters and cardiac change parameters) to ensure the reliability and accuracy of the target frame annotation results, thereby ensuring the accuracy of the cardiac cycle sequence division results.

[0103] Optionally, cardiac structural parameters include external cardiac parameters and / or internal cardiac structural parameters (such as left / right ventricular position, left / right ventricular size, endocardial structural parameters, tricuspid annulus structural parameters, etc.). Further optionally, target change parameters include at least one of ventricular pressure change parameters, ventricular volume change parameters, cardiac motion change parameters, and blood flow change parameters. Still further optionally, target frame annotation operations include target systolic frame annotation operations and / or target diastolic frame annotation operations, and correspondingly, target frame annotation results include target systolic frame annotation results (such as end-systolic frame annotation results) and / or target diastolic frame annotation results (such as end-diastolic frame annotation results).

[0104] As can be seen, this optional embodiment can perform target frame annotation on the target echocardiogram based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram. Then, based on the target frame annotation results, cardiac cycle segmentation is performed on the target echocardiogram to obtain the cardiac cycle sequence segmentation results corresponding to the target echocardiogram. In this way, based on the cardiac structural parameters and target change parameters, the reliability and accuracy of the target frame annotation and cardiac cycle segmentation operations on the target echocardiogram can be improved, thereby improving the reliability and accuracy of the processing results of the target echocardiogram. This is beneficial for subsequent accurate and efficient myocardial strain analysis of the target echocardiogram.

[0105] In an optional embodiment, before performing target frame annotation on the target echocardiogram based on the cardiac structure parameters and target change parameters corresponding to the target echocardiogram in the above steps to obtain the target frame annotation result corresponding to the target echocardiogram, the method further includes:

[0106] Obtain the personnel parameters of the subject corresponding to the target echocardiogram;

[0107] Based on the personnel parameters of the subject corresponding to the target echocardiogram, determine the cardiac impact of the target echocardiogram, and based on the cardiac impact of the target echocardiogram, determine the degree of annotation impact on the target echocardiogram;

[0108] Determine whether the degree of influence of annotation on the target echocardiogram is greater than or equal to the preset threshold for the degree of influence of annotation;

[0109] When it is determined that the degree of influence of the annotation is less than the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters and the corresponding target change parameters, so as to obtain the target frame annotation result corresponding to the target echocardiogram.

[0110] When it is determined that the degree of influence of the annotation is greater than or equal to the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters, target change parameters and cardiac influence of the target echocardiogram, and the target frame annotation result corresponding to the target echocardiogram is obtained.

[0111] In this optional embodiment, the examinee's personal parameters are further considered to determine whether their physiological, psychological, exercise, and dietary conditions will excessively affect their cardiac activity (such as heart rate and cardiac contraction / diastole) during the cardiac examination. If so, the target frame of the target echocardiogram needs to be annotated based on the extent of the impact on the examinee's cardiac activity (e.g., slightly shifting the annotation markers to the left or right). Optionally, the personal parameters include at least one of the following: physiological parameters, psychological parameters, exercise parameters, and dietary parameters.

[0112] As can be seen, this optional embodiment can combine the subject's personnel parameters to determine the cardiac impact corresponding to the target echocardiogram, and then determine the degree of annotation impact on the target echocardiogram. When the annotation impact is too large, the target echocardiogram is annotated with target frames based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram, combined with the cardiac impact. This helps to improve the comprehensiveness of the analysis of the impact of target frame annotation on the target echocardiogram, and thus helps to improve the reliability and accuracy of the target frame annotation results corresponding to the target echocardiogram. This is beneficial for subsequent accurate and efficient cardiac cycle segmentation operations on the target echocardiogram.

[0113] Example 2

[0114] Please see Figure 2 , Figure 2 This is a flowchart illustrating another intelligent control method for a myocardial strain analysis system disclosed in an embodiment of the present invention. Figure 2 The intelligent control method for the described myocardial strain analysis system can be applied to the analysis of myocardial strain based on echocardiography or cardiac magnetic resonance imaging, and this embodiment of the invention is not limited thereto. Optionally, this method can be implemented by an analysis and control device, which can be integrated into an analysis and control equipment (such as a smart computer, smartphone, tablet, etc.), or it can be a local server or cloud server used to process the myocardial strain analysis process, etc., and this embodiment of the invention is not limited thereto. Figure 2 As shown, the intelligent control method of this myocardial strain analysis system may include the following operations:

[0115] 201. When a user logs into the myocardial strain analysis system and has a need for myocardial strain analysis, obtain the user's analysis requirement parameters.

[0116] 202. Based on the analysis requirements parameters, determine the target echocardiogram from the preset cardiac image database.

[0117] 203. Perform image processing operations on the target echocardiogram to obtain the corresponding processing results.

[0118] 204. Based on the processing results corresponding to the target echocardiogram, determine the myocardial segmentation parameters corresponding to the target echocardiogram, and perform myocardial segmentation operation on the target echocardiogram according to the myocardial segmentation parameters corresponding to the target echocardiogram to obtain the myocardial segmentation results corresponding to the target echocardiogram.

[0119] In this embodiment of the invention, the myocardial segmentation parameters may optionally include myocardial segmentation surface type parameters and / or myocardial segmentation location parameters.

[0120] 205. Based on the processing results corresponding to the target echocardiogram, predict the cardiac motion characteristic parameters corresponding to the target echocardiogram, and determine the optical flow map corresponding to the target echocardiogram according to the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0121] In this embodiment of the invention, optional cardiac motion characteristic parameters may include heart rate parameters, RR interval, QT interval, etc. In the process of determining the optical flow map corresponding to the target echocardiogram, optical flow methods such as the Lucas-Kanade method and the Horn-Schunck method can be used, and relevant parameters of the optical flow method, such as time step, window size, smoothness, etc., can be determined.

[0122] 206. Based on the myocardial segmentation results and corresponding optical flow diagrams corresponding to the target echocardiogram, determine the myocardial strain analysis results corresponding to the target echocardiogram so that the myocardial strain analysis results can be viewed by the user.

[0123] In this embodiment of the invention, for other descriptions of steps 205 and 206, please refer to the detailed description of steps 102 and 103 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0124] As can be seen, implementing the embodiments of the present invention enables the myocardial segmentation and optical flow calculation operations to be performed on the target echocardiogram based on the processing results corresponding to the target echocardiogram, thereby obtaining the myocardial segmentation results and optical flow maps corresponding to the target echocardiogram. Based on the myocardial segmentation results and optical flow maps corresponding to the target echocardiogram, the corresponding myocardial strain analysis results can be determined. This can improve the reliability and accuracy of the execution of myocardial segmentation and optical flow calculation operations on the target echocardiogram, and further enable precise and efficient myocardial strain analysis of the target echocardiogram based on the myocardial segmentation results and optical flow maps. This is beneficial for technicians to quickly understand the patient's cardiac systolic / diastolic state based on the myocardial strain analysis results.

[0125] In an optional embodiment, step 205 above, determining the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram, includes:

[0126] Determine the target organ conditions of other organs associated with the heart corresponding to the target echocardiogram, and based on the target organ conditions of other organs, determine the internal environment of the subject corresponding to the target echocardiogram;

[0127] Based on the subject's internal physical environment corresponding to the target echocardiogram, the pixel influence of the target echocardiogram is determined, and based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters, the optical flow map corresponding to the target echocardiogram is determined.

[0128] In this optional embodiment, the operational status or location of other organs associated with the heart, such as the lungs, liver, and sternum, can affect the cardiac imaging process. For example, gas produced by emphysema may prevent ultrasound waves from clearly penetrating the heart, resulting in decreased image quality, or sternal deformities may obstruct the ultrasound velocity, further reducing image quality. Therefore, a comprehensive analysis of the subject's internal environment is necessary, combined with pixel-level influence, to determine the optical flow map corresponding to the target echocardiogram. Optionally, the target organ's condition includes organ operational status and / or organ location.

[0129] As can be seen, this optional embodiment can further analyze the internal environment of the body by combining the target organ conditions of other related organs, thereby determining the pixel influence of the target echocardiogram, and then determining the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters of the pixel influence. This can improve the comprehensiveness, reliability, and accuracy of the analysis of the pixel influence of the target echocardiogram, and further improve the reliability and accuracy of determining the optical flow map corresponding to the target echocardiogram, thus helping to improve the accuracy and efficiency of subsequent myocardial strain analysis operations on the target echocardiogram.

[0130] In another optional embodiment, the step of determining the pixel impact of the target echocardiogram based on the internal physical environment of the subject corresponding to the target echocardiogram includes:

[0131] Determine the field parameters of the physical field corresponding to the target echocardiogram;

[0132] Based on the field parameters of the physical field corresponding to the target echocardiogram and the corresponding internal environment of the subject, the imaging effect of the physical field on the heart is determined.

[0133] Determine the differences between cardiac imaging and background imaging as the pixel impact of the target echocardiogram.

[0134] In this optional embodiment, the field parameters may optionally include at least one of field type parameters (such as sound field, magnetic field), field intensity parameters, and field direction parameters. Further optionally, the imaging conditions may include cardiac imaging conditions and background imaging conditions, such as pixel size and resolution.

[0135] Furthermore, as an optional implementation, the optical flow map corresponding to the target echocardiogram is determined based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters, including:

[0136] Based on the pixel influence of the target echocardiogram, determine the degree of influence of optical flow analysis on the target echocardiogram;

[0137] Based on the degree of influence of optical flow analysis on the target echocardiogram, determine whether the degree of influence of optical flow analysis is greater than or equal to the preset threshold for the degree of influence of analysis;

[0138] When it is determined that the influence of optical flow analysis is less than the threshold of influence, the optical flow map corresponding to the target echocardiogram is determined based on the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0139] When it is determined that the influence of optical flow analysis is greater than or equal to the threshold of influence, the optical flow map corresponding to the target echocardiogram is determined based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters.

[0140] In this optional embodiment, determining the optical flow map corresponding to the target echocardiogram based on the pixel influence of the target echocardiogram and the corresponding cardiac motion feature parameters can be understood as combining the pixel influence of the target echocardiogram and appropriately performing operations such as denoising, filtering, and optical flow direction / intensity modification on the initial optical flow map corresponding to the target echocardiogram to obtain the optical flow map corresponding to the target echocardiogram.

[0141] As can be seen, this optional embodiment can determine the imaging of the heart based on the internal environment of the subject and the field parameters of the physical field being examined, and then determine the pixel influence of the target echocardiogram. In this way, the analysis of the cardiac imaging process is improved by using the field parameters of the physical field being examined, thereby improving the accuracy of the analysis of the pixel influence of the target echocardiogram, which is conducive to accurately and efficiently determining the optical flow map corresponding to the target echocardiogram.

[0142] Example 3

[0143] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an intelligent control device for a myocardial strain analysis system disclosed in an embodiment of the present invention. Figure 3 As shown, the intelligent control device of the myocardial strain analysis system may include:

[0144] The acquisition module 301 is used to acquire the user's analysis requirement parameters when the user logs into the myocardial strain analysis system and the user has a need for myocardial strain analysis.

[0145] The determination module 302 is used to determine the target echocardiogram from a preset cardiac image database based on the analysis requirements parameters;

[0146] Image processing module 303 is used to perform image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram;

[0147] The analysis module 304 is used to perform myocardial strain analysis on the target echocardiogram based on the processing results and analysis requirements parameters, and obtain the myocardial strain analysis results corresponding to the target echocardiogram, so that the myocardial strain analysis results can be viewed by the user.

[0148] In this embodiment of the invention, the analysis requirements parameters include at least one of myocardial motion analysis requirements parameters, myocardial deformation analysis requirements parameters, and multidimensional myocardial strain analysis requirements parameters; the processing results corresponding to the target echocardiogram include the target frame annotation results and the cardiac cycle sequence division results corresponding to the target echocardiogram.

[0149] It is evident that implementation Figure 3 The intelligent control device of the described myocardial strain analysis system can perform image processing and myocardial strain analysis on the target echocardiogram based on the user's analysis requirements parameters. In this way, by controlling the process of myocardial strain analysis system (such as data acquisition, data processing, and data analysis), the dependence on human analysis is reduced, and the intelligence, reliability, and accuracy of myocardial stress analysis are improved. This is conducive to accurately determining the contraction and relaxation of the heart based on the target echocardiogram, so as to help technicians understand the patient's heart condition in a timely and accurate manner.

[0150] In an optional embodiment, the image processing module 303 performs image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram in the following specific ways:

[0151] Determine the cardiac structural parameters corresponding to the target echocardiogram;

[0152] Determine the target change parameters corresponding to the target echocardiogram;

[0153] Based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram, target frame annotation is performed on the target echocardiogram to obtain the target frame annotation results corresponding to the target echocardiogram.

[0154] Based on the target frame annotation results corresponding to the target echocardiogram, the cardiac cycle segmentation parameters corresponding to the target echocardiogram are determined, and cardiac cycle segmentation operation is performed on the target echocardiogram according to the cardiac cycle segmentation parameters corresponding to the target echocardiogram to obtain the cardiac cycle sequence segmentation results corresponding to the target echocardiogram.

[0155] In this optional embodiment, the cardiac structural parameters include cardiac morphological parameters and / or cardiac internal structural parameters; the target change parameters include at least one of ventricular pressure change parameters, ventricular volume change parameters, cardiac motion change parameters, and blood flow change parameters; the target frame annotation operation includes a target systolic frame annotation operation and / or a target diastolic frame annotation operation.

[0156] It is evident that implementation Figure 3 The intelligent control device of the described myocardial strain analysis system can perform target frame annotation on the target echocardiogram based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram. Then, based on the target frame annotation results, it performs cardiac cycle segmentation on the target echocardiogram to obtain the cardiac cycle sequence segmentation results corresponding to the target echocardiogram. In this way, based on the cardiac structural parameters and target change parameters, the reliability and accuracy of the target frame annotation and cardiac cycle segmentation operations on the target echocardiogram can be improved, thereby improving the reliability and accuracy of the processing results of the target echocardiogram. This is beneficial for subsequent accurate and efficient myocardial strain analysis of the target echocardiogram.

[0157] In another optional embodiment, the analysis module 304 performs myocardial strain analysis on the target echocardiogram based on the processing results corresponding to the target echocardiogram and the analysis requirement parameters. The specific methods for obtaining the myocardial strain analysis results corresponding to the target echocardiogram include:

[0158] Based on the processing results corresponding to the target echocardiogram, the myocardial segmentation parameters corresponding to the target echocardiogram are determined, and myocardial segmentation operation is performed on the target echocardiogram according to the myocardial segmentation parameters corresponding to the target echocardiogram to obtain the myocardial segmentation result corresponding to the target echocardiogram.

[0159] Based on the processing results corresponding to the target echocardiogram, the cardiac motion characteristic parameters corresponding to the target echocardiogram are predicted, and the optical flow map corresponding to the target echocardiogram is determined according to the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0160] Based on the myocardial segmentation results and corresponding optical flow diagrams of the target echocardiogram, the myocardial strain analysis results corresponding to the target echocardiogram are determined.

[0161] In this optional embodiment, the myocardial segmentation parameters include myocardial segmentation surface type parameters and / or myocardial segmentation location parameters.

[0162] It is evident that implementation Figure 3 The intelligent control device of the described myocardial strain analysis system can perform myocardial segmentation and optical flow calculation operations on the target echocardiogram based on the processing results corresponding to the target echocardiogram, thereby obtaining the myocardial segmentation results and optical flow map corresponding to the target echocardiogram. Based on the myocardial segmentation results and optical flow map corresponding to the target echocardiogram, the corresponding myocardial strain analysis results can be determined. This can improve the reliability and accuracy of the execution of myocardial segmentation and optical flow calculation operations on the target echocardiogram, and thus enable accurate and efficient myocardial strain analysis of the target echocardiogram based on the myocardial segmentation results and optical flow map. This allows technicians to quickly understand the patient's cardiac systolic / diastolic status based on the myocardial strain analysis results.

[0163] In yet another optional embodiment, the image processing module 303 performs image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram, specifically including:

[0164] Before performing target frame annotation on the target echocardiogram based on the cardiac structure parameters and target change parameters corresponding to the target echocardiogram, the personnel parameters of the subject corresponding to the target echocardiogram are obtained.

[0165] Based on the personnel parameters of the subject corresponding to the target echocardiogram, determine the cardiac impact of the target echocardiogram, and based on the cardiac impact of the target echocardiogram, determine the degree of annotation impact on the target echocardiogram;

[0166] Determine whether the degree of influence of annotation on the target echocardiogram is greater than or equal to the preset threshold for the degree of influence of annotation;

[0167] When it is determined that the degree of influence of the annotation is less than the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters and the corresponding target change parameters, so as to obtain the target frame annotation result corresponding to the target echocardiogram.

[0168] When it is determined that the degree of influence of the annotation is greater than or equal to the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters, target change parameters and cardiac influence of the target echocardiogram, and the target frame annotation result corresponding to the target echocardiogram is obtained.

[0169] In this optional embodiment, the personnel parameters include at least one of personnel physiological parameters, personnel psychological parameters, personnel exercise parameters, and personnel dietary parameters.

[0170] It is evident that implementation Figure 3 The intelligent control device of the described myocardial strain analysis system can determine the cardiac impact of the target echocardiogram by combining the subject's personnel parameters, and then determine the degree of annotation impact on the target echocardiogram. When the annotation impact is too large, the system performs target frame annotation on the target echocardiogram based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram, combined with the cardiac impact. This improves the comprehensiveness of the analysis of the impact of target frame annotation on the target echocardiogram, thereby improving the reliability and accuracy of the target frame annotation results, which in turn facilitates the subsequent precise and efficient cardiac cycle division of the target echocardiogram.

[0171] In yet another optional embodiment, the analysis module 304 determines the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram in the following specific ways:

[0172] Determine the target organ conditions of other organs associated with the heart corresponding to the target echocardiogram, and based on the target organ conditions of other organs, determine the internal environment of the subject corresponding to the target echocardiogram;

[0173] Based on the subject's internal physical environment corresponding to the target echocardiogram, the pixel influence of the target echocardiogram is determined, and based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters, the optical flow map corresponding to the target echocardiogram is determined.

[0174] In this optional embodiment, the target organ condition includes organ function and / or organ location.

[0175] It is evident that implementation Figure 3 The intelligent control device of the described myocardial strain analysis system can further analyze the internal environment of the body by combining the target organ conditions of other related organs, thereby determining the pixel influence of the target echocardiogram. Based on the cardiac motion characteristic parameters of the pixel influence, the corresponding optical flow map of the target echocardiogram can be determined. This improves the comprehensiveness, reliability, and accuracy of the analysis of the pixel influence of the target echocardiogram, and further improves the reliability and accuracy of determining the corresponding optical flow map. This, in turn, helps to improve the accuracy and efficiency of subsequent myocardial strain analysis operations on the target echocardiogram.

[0176] In yet another optional embodiment, the analysis module 304 determines the pixel impact of the target echocardiogram based on the subject's internal physical environment corresponding to the target echocardiogram in the following specific ways:

[0177] Determine the field parameters of the physical field corresponding to the target echocardiogram;

[0178] Based on the field parameters of the physical field corresponding to the target echocardiogram and the corresponding internal environment of the subject, the imaging effect of the physical field on the heart is determined.

[0179] Determine the differences between cardiac imaging and background imaging as the pixel impact of the target echocardiogram.

[0180] In this optional embodiment, the field parameters include at least one of field type parameters, field intensity parameters, and field direction parameters; the imaging conditions include cardiac imaging conditions and background imaging conditions.

[0181] Furthermore, as an optional implementation, the analysis module 304 determines the optical flow map corresponding to the target echocardiogram based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters, specifically including:

[0182] Based on the pixel influence of the target echocardiogram, determine the degree of influence of optical flow analysis on the target echocardiogram;

[0183] Based on the degree of influence of optical flow analysis on the target echocardiogram, determine whether the degree of influence of optical flow analysis is greater than or equal to the preset threshold for the degree of influence of analysis;

[0184] When it is determined that the influence of optical flow analysis is less than the threshold of influence, the optical flow map corresponding to the target echocardiogram is determined based on the cardiac motion characteristic parameters corresponding to the target echocardiogram.

[0185] When it is determined that the influence of optical flow analysis is greater than or equal to the threshold of influence, the optical flow map corresponding to the target echocardiogram is determined based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters.

[0186] It is evident that implementation Figure 3 The intelligent control device of the described myocardial strain analysis system can determine the imaging of the heart based on the internal environment of the subject and the field parameters of the physical field being examined, and then determine the pixel influence of the target echocardiogram. In this way, the analysis of the cardiac imaging process is improved by using the field parameters of the physical field being examined, thereby improving the accuracy of the analysis of the pixel influence of the target echocardiogram. This is conducive to accurately and efficiently determining the optical flow map corresponding to the target echocardiogram.

[0187] Example 4

[0188] Please see Figure 4 , Figure 4 This is a schematic diagram of the intelligent control device of another myocardial strain analysis system disclosed in an embodiment of the present invention. Figure 4 As shown, the intelligent control device of the myocardial strain analysis system may include:

[0189] Memory 401 storing executable program code;

[0190] Processor 402 coupled to memory 401;

[0191] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the intelligent control method of the myocardial strain analysis system described in Embodiment 1 or Embodiment 2 of the present invention.

[0192] Example 5

[0193] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the intelligent control method of the myocardial strain analysis system described in Embodiment 1 or Embodiment 2 of this invention.

[0194] Example 6

[0195] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the intelligent control method of the myocardial strain analysis system described in Embodiment 1 or Embodiment 2.

[0196] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0197] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0198] Finally, it should be noted that the intelligent control method and device for myocardial strain analysis system disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control method for a myocardial strain analysis system, characterized in that, The method includes: When a user logs into the myocardial strain analysis system and the user has a need for myocardial strain analysis, the system obtains the user's analysis requirement parameters; the analysis requirement parameters include at least one of myocardial motion analysis requirement parameters, myocardial deformation analysis requirement parameters, and multidimensional myocardial strain analysis requirement parameters. Based on the analysis requirements parameters, the target echocardiogram is determined from a preset cardiac image database; Image processing operations are performed on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram; the processing result corresponding to the target echocardiogram includes the target frame annotation result and the cardiac cycle sequence segmentation result; Based on the processing results corresponding to the target echocardiogram and the analysis requirement parameters, myocardial strain analysis is performed on the target echocardiogram to obtain the myocardial strain analysis results corresponding to the target echocardiogram, so that the myocardial strain analysis results can be viewed by the user. The step of performing image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram includes: Determine the cardiac structural parameters corresponding to the target echocardiogram; the cardiac structural parameters include cardiac external shape parameters and cardiac internal structure parameters. Determine the target change parameters corresponding to the target echocardiogram; the target change parameters include ventricular pressure change parameters, ventricular volume change parameters, cardiac motion change parameters, and blood flow change parameters; Based on the cardiac structural parameters and target change parameters corresponding to the target echocardiogram, target frame annotation is performed on the target echocardiogram to obtain the target frame annotation result corresponding to the target echocardiogram; the target frame annotation operation includes target systolic frame annotation operation and / or target diastolic frame annotation operation. Based on the target frame annotation results corresponding to the target echocardiogram, the cardiac cycle segmentation parameters corresponding to the target echocardiogram are determined, and cardiac cycle segmentation operation is performed on the target echocardiogram according to the cardiac cycle segmentation parameters corresponding to the target echocardiogram to obtain the cardiac cycle sequence segmentation result corresponding to the target echocardiogram.

2. The intelligent control method for the myocardial strain analysis system according to claim 1, characterized in that, The step of performing myocardial strain analysis on the target echocardiogram based on the processing results corresponding to the target echocardiogram and the analysis requirement parameters, to obtain the myocardial strain analysis results corresponding to the target echocardiogram, includes: Based on the processing results corresponding to the target echocardiogram, the myocardial segmentation parameters corresponding to the target echocardiogram are determined, and myocardial segmentation is performed on the target echocardiogram according to the myocardial segmentation parameters to obtain the myocardial segmentation result corresponding to the target echocardiogram; the myocardial segmentation parameters include myocardial segmentation surface type parameters and / or myocardial segmentation position parameters; Based on the processing results corresponding to the target echocardiogram, predict the cardiac motion characteristic parameters corresponding to the target echocardiogram, and determine the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram. Based on the myocardial segmentation results and corresponding optical flow diagrams corresponding to the target echocardiogram, the myocardial strain analysis results corresponding to the target echocardiogram are determined.

3. The intelligent control method for the myocardial strain analysis system according to claim 1, characterized in that, Before performing target frame annotation on the target echocardiogram based on the cardiac structure parameters and target change parameters corresponding to the target echocardiogram to obtain the target frame annotation result, the method further includes: Obtain the personnel parameters of the subject corresponding to the target echocardiogram; the personnel parameters include at least one of personnel physiological parameters, personnel psychological parameters, personnel exercise parameters, and personnel dietary parameters; Based on the personnel parameters of the examinee corresponding to the target echocardiogram, determine the cardiac impact of the target echocardiogram, and based on the cardiac impact of the target echocardiogram, determine the degree of annotation impact on the target echocardiogram; Determine whether the degree of annotation influence on the target echocardiogram is greater than or equal to a preset annotation influence threshold; When it is determined that the degree of influence of the annotation is less than the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters and the corresponding target change parameters, so as to obtain the target frame annotation result corresponding to the target echocardiogram; When it is determined that the degree of influence of the annotation is greater than or equal to the threshold of the degree of influence of the annotation, the target frame annotation operation is performed on the target echocardiogram according to the cardiac structure parameters, the target change parameters, and the corresponding cardiac influence of the target echocardiogram, so as to obtain the target frame annotation result corresponding to the target echocardiogram.

4. The intelligent control method for the myocardial strain analysis system according to claim 2, characterized in that, The step of determining the optical flow map corresponding to the target echocardiogram based on the cardiac motion characteristic parameters corresponding to the target echocardiogram includes: The target organ conditions of other organs associated with the heart corresponding to the target echocardiogram are determined, and the internal environment of the subject corresponding to the target echocardiogram is determined based on the target organ conditions of the other organs; the target organ conditions include organ function and / or organ location. Based on the internal environment of the subject corresponding to the target echocardiogram, the pixel influence of the target echocardiogram is determined, and based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters, the optical flow map corresponding to the target echocardiogram is determined.

5. The intelligent control method for the myocardial strain analysis system according to claim 4, characterized in that, The step of determining the pixel impact of the target echocardiogram based on the internal physical environment of the subject corresponding to the target echocardiogram includes: Determine the field parameters of the physical field corresponding to the target echocardiogram; the field parameters include at least one of field type parameters, field intensity parameters, and field direction parameters; Based on the field parameters of the physical field corresponding to the target echocardiogram and the corresponding internal environment of the subject, the imaging of the physical field for the heart is determined; the imaging includes cardiac imaging and background imaging. The difference between the cardiac imaging and the background imaging is determined as the pixel impact of the target echocardiogram.

6. The intelligent control method for the myocardial strain analysis system according to claim 4 or 5, characterized in that, The step of determining the optical flow map corresponding to the target echocardiogram based on the pixel influence of the target echocardiogram and the corresponding cardiac motion feature parameters includes: The degree of influence of optical flow analysis on the target echocardiogram is determined based on the pixel influence of the target echocardiogram. Based on the degree of influence of optical flow analysis on the target echocardiogram, determine whether the degree of influence of optical flow analysis is greater than or equal to a preset threshold for the degree of influence of analysis; When it is determined that the influence of the optical flow analysis is less than the threshold of the influence of the analysis, the optical flow map corresponding to the target echocardiogram is determined according to the cardiac motion characteristic parameters corresponding to the target echocardiogram. When it is determined that the influence of the optical flow analysis is greater than or equal to the threshold of the influence of the analysis, the optical flow map corresponding to the target echocardiogram is determined based on the pixel influence of the target echocardiogram and the corresponding cardiac motion characteristic parameters.

7. An intelligent control device for a myocardial strain analysis system, characterized in that, The device is used to execute the intelligent control method of the myocardial strain analysis system as described in any one of claims 1-6, and the device comprises: The acquisition module is used to acquire the user's analysis requirement parameters when the user logs into the myocardial strain analysis system and the user has a myocardial strain analysis requirement; the analysis requirement parameters include at least one of myocardial motion analysis requirement parameters, myocardial deformation analysis requirement parameters, and multidimensional myocardial strain analysis requirement parameters; The determination module is used to determine the target echocardiogram from a preset cardiac image database based on the analysis requirement parameters. The image processing module is used to perform image processing operations on the target echocardiogram to obtain the processing result corresponding to the target echocardiogram; the processing result corresponding to the target echocardiogram includes the target frame annotation result and the cardiac cycle sequence segmentation result corresponding to the target echocardiogram. The analysis module is used to perform myocardial strain analysis on the target echocardiogram based on the processing results corresponding to the target echocardiogram and the analysis requirement parameters, so as to obtain the myocardial strain analysis results corresponding to the target echocardiogram and make the myocardial strain analysis results available for viewing by the user.

8. An intelligent control device for a myocardial strain analysis system, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent control method of the myocardial strain analysis system as described in any one of claims 1-6.

9. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the intelligent control method of the myocardial strain analysis system as described in any one of claims 1-6.

Images