Intelligent processing method, system and device for TAVR data

Abstract

The invention discloses an intelligent processing method, system and device for TAVR data, by implementing the invention, a quick response mechanism for an access instruction of the intelligent processing system is set, so that the response speed of an instruction related to a case management function is improved; aiming at the condition that the target case matched with the access instruction does not exist in the case management function, the matched new target case can be automatically generated, so that the adaptability and the use flexibility of the system can be improved; operation items, such as valve plane analysis, valve three-dimensional analysis, case report generation and the like, for a target case can be accurately recognized according to the access instruction, and specific item details of each operation item are refined; the response fineness and reliability of the access instruction are improved; besides, the item details associated with the generation of the case report comprise report generation and export functions which can improve the generation efficiency of the case report and improve the use convenience of operators.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent data processing, and in particular to an intelligent processing method, system and device for TAVR data. Background Art

[0002] In the field of data analysis and processing, especially for intelligent processing of complex structures and multi-dimensional data, traditional methods often rely on manual operation and expert experience, which is not only inefficient, but also easily affected by subjective factors, resulting in inconsistency and inaccuracy in data analysis (such as evaluation and annotation). With the continuous advancement of technology, especially in the processing of medical auxiliary equipment data (such as transcatheter aortic valve replacement, referred to as TAVR), the demand for automated and intelligent evaluation methods is becoming increasingly urgent.

[0003] Although attempts have been made to introduce computer-assisted technologies into the existing TAVR data processing process, these technologies are mostly limited to a single dimension of data analysis, such as planar image analysis or simple indicator calculations, and lack the ability to conduct in-depth intelligent evaluation of data. When dealing with more complex, multi-dimensional, multi-level tasks such as valve plane analysis / evaluation, the accuracy of the analysis / evaluation results that can be provided by conventional computer-assisted technologies will be reduced. It can be seen that it is particularly important to provide a corresponding solution to the technical problems of low data processing accuracy and low practicality when processing TAVR data using existing technologies. Summary of the invention

[0004] The present invention provides a method, system and device for intelligently processing TAVR data, which can improve the processing complexity and data analysis accuracy of TAVR data.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent processing method for TAVR data, which is applied in an intelligent processing system for TAVR data, and comprises:

[0006] When an access instruction to the intelligent processing system is detected, determining whether the function to be accessed by the access instruction is a case management function, and when determining that the function to be accessed by the access instruction is the case management function, detecting whether there is a target case matching the access instruction in the case management function;

[0007] When it is detected that there is no target case matching the access instruction in the case management function, generating a target case matching the access instruction;

[0008] Determine the operation items of the access instruction for the target case, and determine the target item details of the access instruction for the operation items; the operation items include any one of valve plane analysis, valve three-dimensional analysis and case report generation; and the data used in any one of the operation items includes the TAVR data; each of the operation items has its associated item details;

[0009] Based on the case management function, perform target control operations on the target case according to the operation items and the item details, and obtain target control operation results for the target case;

[0010] Among them, the details of matters associated with the valve plane analysis include at least segmentation area marking and / or preset indicator processing; the details of matters associated with the valve stereoscopic analysis include at least key plane display and cross-sectional pseudo-color photo display; the details of matters associated with the case report generation include at least report generation and export.

[0011] As an optional embodiment, in the first aspect of the present invention, the case record data of the target case includes the TAVR data, and the TAVR data includes a plurality of CT images of artificial valves;

[0012] Based on the case management function, the target control operation is performed on the target case according to the operation items and the item details to obtain the target control operation result for the target case, including:

[0013] When the operation items include the valve plane analysis, and the item details include the segmented area annotation, segmenting the calcified area in the first CT image according to a preset image segmentation algorithm to obtain a segmentation result corresponding to the first CT image; and adding the segmentation result to the target control operation result of the target case;

[0014] When the operation items include the valve plane analysis, and the item details include the preset indicator processing, determine the target indicator to be processed, and take the target indicator as a benchmark, combine the historical indicator record data of the target indicator and the indicator processing requirements, perform indicator measurement and / or indicator labeling operations on the second CT image, obtain the indicator processing result corresponding to the second CT image, and add the indicator processing result to the target control operation result of the target case;

[0015] Among them, the first CT image and the second CT image correspond to at least one image among all the CT images; the target index includes at least one index of the intersection of the artificial valve, the symmetry of the leaflets, and the degree of restriction of the movement of the leaflets.

[0016] As an optional embodiment, in the first aspect of the present invention, the details of matters associated with the valve plane analysis also include cardiac cycle index construction and / or multi-plane reconstruction;

[0017] Based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case, further comprising:

[0018] When the operation items include the valve plane analysis, and the item details include the construction of the cardiac cycle index, the target case is determined to be a newly generated case, and a cardiac cycle index matching the case record data is created; the cardiac cycle index is used to display the reference directory corresponding to the case record data for the review personnel; the cardiac cycle index is added to the target management and control operation result of the target case;

[0019] When the operation items include the valve plane analysis, and the item details include the multi-plane reconstruction, the multi-plane reconstruction operation is performed on all the CT images with the section position and section direction as the adjustment reference to obtain the multi-plane reconstruction results corresponding to all the CT images; the multi-plane reconstruction results corresponding to all the CT images include the coronal plane, sagittal plane and transverse section corresponding to the artificial valve;

[0020] The multi-planar reconstruction result is added to the target management and control operation result for the target case.

[0021] As an optional implementation manner, in the first aspect of the present invention, based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case further includes:

[0022] When the operation items include the three-dimensional analysis of the valve, plane analysis data corresponding to the plane analysis of the valve is extracted from the case record data, and cross-sectional data corresponding to the cross-sectional area is extracted from the plane analysis data based on the cross-sectional area corresponding to the artificial valve; the cross-sectional data includes the cross-sectional areas at different section angles; and the cross-sectional data is added to the target control operation result of the target case;

[0023] The method further comprises:

[0024] detecting whether a pseudo-color display instruction for the cross-sectional data is received, and when it is detected that the pseudo-color display instruction is received, performing pseudo-color processing on the cross-sectional data to obtain pseudo-color display data corresponding to the cross-sectional data;

[0025] The pseudo-color display data is added to the target management and control operation result of the target case.

[0026] As an optional embodiment, in the first aspect of the present invention, the details of matters associated with the valve stereoscopic analysis further include three-dimensional volume rendering;

[0027] Based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case, further comprising:

[0028] When the operation items include the valve stereo analysis, and the item details include the three-dimensional volume rendering, a volume rendering image corresponding to at least one third CT image is drawn according to a preset three-dimensional volume rendering technology; all the CT images include all the third CT images;

[0029] Based on the intelligent processing system, performing parameter filling on all the volume rendering images with preset target volume rendering parameters to obtain parameter filling results corresponding to all the volume rendering images;

[0030] The parameter filling result is added to the target management and control operation result of the target case.

[0031] As an optional implementation, in the first aspect of the present invention, the target volume rendering parameters include first volume rendering parameters and second volume rendering parameters;

[0032] The first volume rendering parameters include parameters corresponding to translation, rotation, and scaling; the first volume rendering parameters are used to switch the viewing angle of any of the volume rendering images;

[0033] The second volume rendering parameters include parameters corresponding to window width, window level, and rendering color.

[0034] As an optional implementation manner, in the first aspect of the present invention, based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case further includes:

[0035] When the operation item includes generating the case report, obtaining the first CT image and the corresponding segmentation result, the second CT image and the corresponding index processing data as data to be sorted;

[0036] generating text analysis information for the target case according to the second CT image and the corresponding indicator processing data;

[0037] A case report for the target case is generated according to the data to be sorted and the text analysis information; and the target case and the corresponding case report are stored according to a set storage format.

[0038] A second aspect of the present invention discloses an intelligent processing system for TAVR data, the intelligent processing system is applied to an intelligent processing method for TAVR data, and the intelligent processing system comprises:

[0039] A judgment module, configured to, when an access instruction to the intelligent processing system is detected, judge whether the current function to be accessed by the access instruction is a case management function;

[0040] a detection module, configured to detect whether there is a target case matching the access instruction in the case management function when the judgment module determines that the function to be accessed of the access instruction is the case management function;

[0041] a generating module, configured to generate a target case matching the access instruction when the detecting module detects that there is no target case matching the access instruction in the case management function;

[0042] A determination module, used to determine the operation items of the access instruction for the target case, and determine the target item details of the access instruction for the operation items; the operation items include any one of valve plane analysis, valve three-dimensional analysis and case report generation; and the data used in any of the operation items include the TAVR data; each of the operation items has its associated item details;

[0043] A control module, configured to perform a target control operation on the target case according to the operation items and the item details based on the case management function, and obtain a target control operation result for the target case;

[0044] Among them, the details of matters associated with the valve plane analysis include at least segmentation area marking and / or preset indicator processing; the details of matters associated with the valve stereoscopic analysis include at least key plane display and cross-sectional pseudo-color photo display; the details of matters associated with the case report generation include at least report generation and export.

[0045] As an optional embodiment, in the second aspect of the present invention, the case record data of the target case includes the TAVR data, and the TAVR data includes a plurality of CT images of artificial valves;

[0046] The control module includes:

[0047] An image segmentation submodule, for performing segmentation on the calcified area in the first CT image according to a preset image segmentation algorithm to obtain a segmentation result corresponding to the first CT image when the operation item includes the valve plane analysis and the item details include the segmentation area annotation; and adding the segmentation result to the target control operation result of the target case;

[0048] An indicator processing submodule, for determining a target indicator to be processed when the operation items include the valve plane analysis and the item details include the preset indicator processing;

[0049] The indicator processing submodule is further used to perform indicator measurement and / or indicator labeling operations on the second CT image based on the target indicator and in combination with the historical indicator record data and indicator processing requirements of the target indicator, to obtain an indicator processing result corresponding to the second CT image, and to add the indicator processing result to the target management and control operation result of the target case;

[0050] Among them, the first CT image and the second CT image correspond to at least one image among all the CT images; the target index includes at least one index of the intersection of the artificial valve, the symmetry of the leaflets, and the degree of restriction of the movement of the leaflets.

[0051] As an optional embodiment, in the second aspect of the present invention, the details of matters associated with the valve plane analysis also include cardiac cycle index construction and / or multi-plane reconstruction;

[0052] The control module further includes:

[0053] A construction submodule, for determining that the target case is a newly generated case when the operation items include the valve plane analysis and the item details include the construction of the cardiac cycle index, and creating a cardiac cycle index matching the case record data; the cardiac cycle index is used to display the reference directory corresponding to the case record data for the review personnel; and adding the cardiac cycle index to the target management and control operation result of the target case;

[0054] A multi-plane reconstruction submodule, for performing a multi-plane reconstruction operation on all the CT images with the section position and section direction as adjustment references when the operation items include the valve plane analysis and the item details include the multi-plane reconstruction, to obtain multi-plane reconstruction results corresponding to all the CT images; the multi-plane reconstruction results corresponding to all the CT images include the coronal plane, sagittal plane and transverse section corresponding to the artificial valve;

[0055] The multi-planar reconstruction submodule is further used to add the multi-planar reconstruction result to the target management and control operation result for the target case.

[0056] As an optional implementation, in the second aspect of the present invention, the management and control module further includes:

[0057] A plane display submodule, for extracting plane analysis data corresponding to the valve plane analysis from the case record data when the operation items include the valve stereo analysis, and, based on the cross section corresponding to the artificial valve, extracting cross-sectional data corresponding to the cross section from the plane analysis data; the cross-sectional data includes the cross sections at different section angles; and adding the cross-sectional data to the target control operation result of the target case;

[0058] The control module further includes:

[0059] a pseudo-color display submodule, configured to detect whether a pseudo-color display instruction for the cross-sectional data is received, and when it is detected that the pseudo-color display instruction is received, perform pseudo-color processing on the cross-sectional data to obtain pseudo-color display data corresponding to the cross-sectional data;

[0060] The pseudo-color display submodule is further used to add the pseudo-color display data to the target management and control operation result of the target case.

[0061] As an optional embodiment, in the second aspect of the present invention, the details of matters associated with the valve stereoscopic analysis further include three-dimensional volume rendering;

[0062] The control module further includes:

[0063] a three-dimensional volume rendering submodule, for, when the operation item includes the valve stereoscopic analysis and the item details include the three-dimensional volume rendering, drawing a volume rendering image corresponding to at least one third CT image according to a preset three-dimensional volume rendering technology; all the CT images include all the third CT images;

[0064] The three-dimensional volume rendering submodule is further used to perform parameter filling on all the volume rendering images based on the intelligent processing system with preset target volume rendering parameters to obtain parameter filling results corresponding to all the volume rendering images;

[0065] The three-dimensional volume rendering submodule is further used to add the parameter filling result to the target management and control operation result of the target case.

[0066] As an optional implementation, in the second aspect of the present invention, the target volume rendering parameters include first volume rendering parameters and second volume rendering parameters;

[0067] The first volume rendering parameters include parameters corresponding to translation, rotation, and scaling; the first volume rendering parameters are used to switch the viewing angle of any of the volume rendering images;

[0068] The second volume rendering parameters include parameters corresponding to window width, window level, and rendering color.

[0069] As an optional implementation, in the second aspect of the present invention, the management and control module further includes:

[0070] A case report generation submodule, used for obtaining the first CT image and the corresponding segmentation result, the second CT image and the corresponding index processing data as data to be sorted when the operation item includes the case report generation;

[0071] The case report generation submodule is further used to generate text analysis information for the target case based on the second CT image and the corresponding indicator processing data;

[0072] The case report generation submodule is further used to generate a case report for the target case according to the data to be sorted and the text analysis information; and to store the target case and the corresponding case report according to a set storage format.

[0073] The third aspect of the present invention discloses another intelligent processing device for TAVR data, the device comprising:

[0074] A memory storing executable program code;

[0075] a processor coupled to the memory;

[0076] The processor calls the executable program code stored in the memory to execute the intelligent processing method of TAVR data disclosed in the first aspect of the present invention.

[0077] A fourth aspect of the present invention discloses a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent processing method of TAVR data disclosed in the first aspect of the present invention.

[0078] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0079] In an embodiment of the present invention, a method for intelligent processing of TAVR data is provided. The method is applied to an intelligent processing system for TAVR data, and the method includes: when an access instruction to the intelligent processing system is detected, determining whether the current to-be-accessed function of the access instruction is a case management function; when it is determined that the to-be-accessed function of the access instruction is the case management function, detecting whether there is a target case matching the access instruction in the case management function; when it is detected that there is no target case matching the access instruction in the case management function, generating a target case matching the access instruction; determining an operation item of the access instruction for the target case, and determining the target item of the access instruction for the operation item. Item details; operation items include any one of valve plane analysis, valve stereo analysis and case report generation; and the data used in any operation item includes TAVR data; each operation item has its associated item details; based on the case management function, the target control operation is performed on the target case according to the operation items and item details, and the target control operation result for the target case is obtained; wherein, the item details associated with valve plane analysis at least include segmentation area annotation and / or preset indicator processing; the item details associated with valve stereo analysis at least include key plane display and cross-section pseudo-color photo display; the item details associated with case report generation at least include report generation and export. It can be seen that the implementation of the present invention sets up a rapid response mechanism for access instructions of the intelligent processing system, especially access instructions for case management functions, which is conducive to improving the response speed of instructions related to the case management function; in the case where there is no target case matching the access instruction in the case management function, a new target case that matches can be automatically generated, which is conducive to improving the adaptability and flexibility of use of the system; further, the operation items for the target case can be accurately identified according to the access instruction, such as valve plane analysis, valve three-dimensional analysis and case report generation, and further refined to the specific item details of each operation item; this refined management method enables each step of the operation to have clear guidance and basis, and improves the response accuracy and reliability of the access instruction; in addition, the item details associated with the case report generation include the functions of report generation and export. The setting of this function greatly simplifies the report preparation process, which is conducive to improving the work efficiency of operators in handling report preparation items, that is, improving the convenience of operators using the intelligent processing system. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0081] Figure 1 It is a flowchart of an intelligent processing method of TAVR data disclosed in an embodiment of the present invention;

[0082] Figure 2 It is a flowchart of another intelligent processing method of TAVR data disclosed in an embodiment of the present invention;

[0083] Figure 3 It is a structural schematic diagram of an intelligent processing system for TAVR data disclosed in an embodiment of the present invention;

[0084] Figure 4 It is a structural schematic diagram of another intelligent processing system for TAVR data disclosed in an embodiment of the present invention;

[0085] Figure 5 It is a structural schematic diagram of an intelligent processing device for TAVR data disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0086] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0087] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0088] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0089] The present invention discloses an intelligent processing method, system and device for TAVR data, and provides a rapid response mechanism for access instructions of the intelligent processing system, especially for access instructions of case management functions, which is conducive to improving the response speed of instructions related to case management functions; in the case that there is no target case matching the access instruction in the case management function, a new target case matching can be automatically generated, which is conducive to improving the adaptability and flexibility of use of the system; further, the operation items for the target case can be accurately identified according to the access instruction, such as valve plane analysis, valve stereoscopic analysis and case report generation, and further refined to the specific item details of each operation item; this refined management method makes each step of the operation have clear guidance and basis, and improves the response accuracy and reliability of the access instruction; in addition, the item details associated with case report generation include the function of report generation and export, and the setting of this function greatly simplifies the report preparation process, which is conducive to improving the work efficiency of operators in handling report preparation items, that is, improving the convenience of operators using the intelligent processing system. The following are detailed descriptions.

[0090] Embodiment 1

[0091] See also Figure 1 , Figure 1 1 is a flow chart of an intelligent processing method of TAVR data disclosed in an embodiment of the present invention. Figure 1 The intelligent processing method of TAVR data described above can be applied to an intelligent processing system of TAVR data, and the embodiments of the present invention are not limited thereto. Figure 1 As shown, the intelligent processing method of TAVR data may include the following operations:

[0092] 101. When an access instruction to the intelligent processing system is detected, determine whether the current to-be-accessed function of the access instruction is a case management function.

[0093] In the embodiment of the present invention, the TAVR is a transcatheter aortic valve replacement; and it should be noted that after acquiring the TAVR data, the embodiment of the present invention performs intelligent processing on the TAVR data according to a set data analysis process, which focuses on the intelligent processing process of the data, and the embodiment of the present invention does not limit the actual application scenario of the intelligent processing result of the TAVR data.

[0094] In the embodiment of the present invention, when the judgment result of step 101 is no, the current process ends.

[0095] 102. When it is determined that the function to be accessed of the access instruction is a case management function, detect whether there is a target case matching the access instruction in the case management function.

[0096] 103. When it is detected that there is no target case matching the access instruction in the case management function, a target case matching the access instruction is generated.

[0097] In the embodiment of the present invention, if there is no target case matching the access instruction, it means that the intelligent processing system does not have a case matching the access instruction, and a new case needs to be created.

[0098] In the embodiment of the present invention, when a target case needs to be generated, the CT image data associated with or corresponding to it can be searched and imported through the access instruction, thereby creating a new target case based on the CT image data.

[0099] 104. Determine the operation items of the access instruction for the target case, and determine the target item details of the access instruction for the operation items.

[0100] In the embodiment of the present invention, the operation items include any one of valve plane analysis, valve three-dimensional analysis and case report generation; and the data used in any operation item includes TAVR data; each operation item has its associated item details.

[0101] In an embodiment of the present invention, the operation item and the target item details can be set as a superior-subordinate relationship, that is, the operation item is taken as the top-level functional item, and the target item details corresponding to the operation item are the subdivided functional items below the top-level functional item.

[0102] 105. Based on the case management function, target control operations are performed on the target case according to the operation items and item details to obtain the target control operation results for the target case.

[0103] In an embodiment of the present invention, the details of matters associated with valve plane analysis include at least segmentation area labeling and / or preset indicator processing; the details of matters associated with valve stereoscopic analysis include at least key plane display and cross-sectional pseudo-color photo display; the details of matters associated with case report generation include at least report generation and export.

[0104] It can be seen that implementation Figure 1The described intelligent processing method for TAVR data sets a rapid response mechanism for access instructions of the intelligent processing system, especially for access instructions of the case management function, which is conducive to improving the response speed of instructions related to the case management function; in the case where there is no target case matching the access instruction in the case management function, a new target case matching it can be automatically generated, which is conducive to improving the adaptability and flexibility of use of the system; further, it can accurately identify the operation items for the target case according to the access instruction, such as valve plane analysis, valve three-dimensional analysis and case report generation, and further refine them into specific item details for each operation item; this refined management method enables each step of the operation to have clear guidance and basis, and improves the response accuracy and reliability of the access instruction; in addition, the item details associated with the case report generation include the function of report generation and export. The setting of this function greatly simplifies the report preparation process, which is conducive to improving the work efficiency of operators in handling report preparation items, that is, improving the convenience of operators using the intelligent processing system.

[0105] In an optional embodiment, the case record data of the target case includes TAVR data, and the TAVR data includes a plurality of CT images of artificial valves;

[0106] The above step 104 performs target control operations on the target case based on the case management function according to the operation items and item details, and obtains the target control operation results for the target case in the following manner:

[0107] When the operation item includes valve plane analysis, and the item details include segmentation area annotation, segment the calcified area in the first CT image according to a preset image segmentation algorithm to obtain a segmentation result corresponding to the first CT image; and add the segmentation result to the target control operation result of the target case;

[0108] When the operation items include valve plane analysis, and the item details include preset indicator processing, determine the target indicator to be processed, and take the target indicator as a benchmark, combine the historical indicator record data of the target indicator and the indicator processing requirements, perform indicator measurement and / or indicator labeling operations on the second CT image, obtain the indicator processing result corresponding to the second CT image, and add the indicator processing result to the target control operation result of the target case;

[0109] The first CT image and the second CT image correspond to at least one image among all CT images; the target index includes at least one of the intersection of the artificial valve, the symmetry of the leaflets, and the degree of restriction of the movement of the leaflets.

[0110] In this optional embodiment, when the target indicator includes an artificial valve intersection, the indicator processing result includes adjustment information corresponding to the addition / movement / deletion operation of the artificial valve intersection; when the target indicator includes leaflet symmetry, the indicator processing result includes the segmentation and labeling results of the leaflets in diastole; when the target indicator includes the degree of restriction of leaflet activity, the indicator processing result includes the segmentation and labeling results of the part of the leaflet that is not fully opened in systole.

[0111] In this optional embodiment, the target indicator may also include distance measurement and indicator calculation; further, the distance measurement is used to measure and display the distance of a specific target (such as two selected points) in the second CT image; the indicator calculation can be used to convert data of one or more indicators such as the above-mentioned artificial valve intersection, leaflet symmetry, degree of leaflet activity restriction, and distance measurement, and display them in the form of tables / lists / charts / bar charts / curve graphs / fan charts, etc.

[0112] It can be seen that in this optional embodiment, a corresponding detailed response process is set for the subdivided functional segmentation area labeling and preset indicator processing of valve plane analysis. Specifically, through the preset image segmentation algorithm, the calcification area in the first CT image can be automatically and accurately segmented, which not only helps to reduce the workload of manual labeling, but also helps to improve the segmentation accuracy and consistency of the first CT image; and, for the processing of preset indicators (such as artificial valve intersections, leaflet symmetry, leaflet activity restriction and other key indicators), by combining historical indicator record data with indicator processing requirements, intelligent measurement and / or labeling of the second CT image is achieved. This data-based dynamic processing method is conducive to improving the operator's measurement speed and accuracy of the target indicator, improving the operator's convenience of use while also improving the practicality of the intelligent processing system.

[0113] In this optional embodiment, before adding the segmentation result to the target management and control operation result of the target case, the method further includes:

[0114] detecting whether an adjustment instruction of an operator for the segmentation result is received, and when it is detected that an adjustment instruction of an operator for the segmentation result is received, collecting adjustment information of the operator for the segmentation result in real time, and performing data update on the segmentation result according to the adjustment information;

[0115] The adjustment information and the updated segmentation results are fed back to the image segmentation algorithm as optimization data for the image segmentation algorithm; and the operation corresponding to the target control operation result of adding the segmentation results to the target case is triggered.

[0116] It can be seen that in this optional embodiment, in addition to realizing intelligent segmentation processing of the first CT image through the image segmentation algorithm, it is also possible to detect the operator's real-time adjustment needs for the segmentation result, thereby automatically collecting the operator's adjustment information and updating the segmentation result in a timely manner; that is, it is able to flexibly and intelligently respond to the operator's real-time adjustment needs for the segmentation result, thereby improving the operator's flexibility and convenience in using the intelligent processing system.

[0117] In another optional embodiment, the list of items associated with valve plane analysis further includes cardiac cycle index construction and / or multi-plane reconstruction;

[0118] The above step 104 performs target control operations on the target case based on the case management function according to the operation items and item details, and the method of obtaining the target control operation result for the target case specifically includes:

[0119] When the operation items include valve plane analysis, and the item details include the construction of cardiac cycle index, the target case is determined to be the currently newly generated case, and a cardiac cycle index matching the case record data is created; the cardiac cycle index is used to display the reference directory corresponding to the case record data for the reviewer; the cardiac cycle index is added to the target control operation result of the target case;

[0120] When the operation items include valve plane analysis, and the item details include multi-plane reconstruction, the multi-plane reconstruction operation is performed on all CT images with the section position and section direction as the adjustment reference to obtain multi-plane reconstruction results corresponding to all CT images; the multi-plane reconstruction results corresponding to all CT images include the coronal plane, sagittal plane and transverse section corresponding to the artificial valve;

[0121] Add the multiplanar reconstruction results to the target control operation results for the target case.

[0122] It can be seen that in this optional embodiment, when the operation item involves valve plane analysis and includes the construction of a cardiac cycle index, it can automatically determine that the target case is the currently newly generated case, and quickly create a cardiac cycle index that matches the case record data. The construction of this index can provide a clear and intuitive reference directory for the reviewer, so that the reviewer can quickly locate the cardiac cycle stage of interest, which is beneficial to improving the reviewer's review and analysis efficiency for specific cardiac cycle data; and, for operation items involving multi-plane reconstruction, it is also possible to perform multi-plane reconstruction operations on all CT images with the section position and section direction as the adjustment reference, thereby obtaining multi-plane reconstruction results such as the coronal plane, sagittal plane and transverse plane corresponding to the artificial valve, which provides the reviewer with detailed morphological information of the valve in different planes, which is beneficial to improving the reviewer's review convenience and improving the practicality of the intelligent processing system.

[0123] Embodiment 2

[0124] See also Figure 2 , Figure 2 FIG. 1 is a flow chart of another intelligent processing method for TAVR data disclosed in an embodiment of the present invention. Figure 2 The intelligent processing method of TAVR data described above can be applied to an intelligent processing device for TAVR data, and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the intelligent processing method of TAVR data may include the following operations:

[0125] 201. When an access instruction to the intelligent processing system is detected, determine whether the current to-be-accessed function of the access instruction is a case management function.

[0126] 202. When it is determined that the function to be accessed of the access instruction is a case management function, detect whether there is a target case matching the access instruction in the case management function.

[0127] 203. When it is detected that there is no target case matching the access instruction in the case management function, generate a target case matching the access instruction.

[0128] 204. Determine the operation items of the access instruction for the target case, and determine the target item details of the access instruction for the operation items.

[0129] In the embodiment of the present invention, for other descriptions of step 201 to step 204, please refer to other specific descriptions of step 101 to step 104 in embodiment 1, and the embodiment of the present invention will not be repeated here.

[0130] 205. When the operation items include generating a case report, the first CT image and its corresponding segmentation result, the second CT image and its corresponding index processing data are obtained as the data to be sorted.

[0131] In the embodiment of the present invention, the integration of multi-source data is achieved through step 204, which not only simplifies the process of data collection, but also improves the automation level of data processing, reduces the need for manual intervention, and is conducive to improving the efficiency of subsequent data processing.

[0132] 206. Generate text analysis information for the target case based on the second CT image and its corresponding indicator processing data.

[0133] 207. Generate a case report for the target case based on the data to be sorted and the text analysis information; and store the target case and its corresponding case report according to the set storage format.

[0134] In an embodiment of the present invention, the method further includes:

[0135] When a data set integration instruction triggered by an operator is detected, all data sets to be integrated are acquired according to the data set integration instruction; the all data sets to be integrated include the data to be sorted in the above step 205, the text analysis information and the case report;

[0136] Using the data annotation information as a check benchmark, perform data integrity check on the data set to be integrated, and obtain a data integrity check result corresponding to the data set to be integrated;

[0137] After it is determined that the data integrity test result corresponding to the data set to be integrated indicates that the test has passed, the data set to be integrated is packaged and uploaded to the cloud.

[0138] It can be seen that in the embodiment of the present invention, a processing mechanism is provided for automatically detecting, integrating, packaging and uploading the data corresponding to steps 201 to 207 to the cloud, thereby improving the storage integrity and accuracy of the data.

[0139] It can be seen that implementation Figure 2 The described intelligent processing method for TAVR data can process data according to the second CT image and its corresponding indicators, and automatically generate text analysis information for the target case. The automatic generation process of the text analysis information avoids errors caused by human factors, which not only improves the efficiency of report generation, but also ensures the accuracy and consistency of the analysis information. In addition, when generating the required case report, the case report can be generated by integrating the data to be sorted and the multidimensional data corresponding to the text analysis information, which is conducive to improving the accuracy of case report generation. In addition, the generation of the case report also follows the preset storage format, ensuring the standardization and readability of the report.

[0140] In an optional embodiment, the above-mentioned method of performing target control operations on target cases according to operation items and item details based on the case management function to obtain target control operation results for the target cases specifically includes:

[0141] When the operation items include valve stereo analysis, plane analysis data corresponding to the valve plane analysis are extracted from the case record data, and cross-sectional data corresponding to the cross-sectional area are extracted from the plane analysis data based on the cross-sectional area corresponding to the artificial valve; the cross-sectional data include cross-sectional areas at different section angles; and the cross-sectional data are added to the target control operation result of the target case;

[0142] And, the method further comprises:

[0143] detecting whether a pseudo-color display instruction for the cross-sectional data is received, and when it is detected that the pseudo-color display instruction is received, performing pseudo-color processing on the cross-sectional data to obtain pseudo-color display data corresponding to the cross-sectional data;

[0144] Add pseudo-color display data to the target control operation results of the target case.

[0145] It can be seen that in this optional embodiment, the plane analysis data corresponding to the valve plane analysis can be intelligently extracted from the case record data, and further based on the cross-section corresponding to the artificial valve, the cross-sectional data corresponding to the cross-section can be accurately extracted, thereby improving the extraction efficiency and accuracy of the required cross-sectional data, and at the same time, it is also beneficial to improve the convenience of the review personnel in reviewing the cross-sectional data; wherein, by extracting cross-sectional data of different section angles, the three-dimensional morphology of the valve can be fully displayed, and the display accuracy of the valve analysis data (the cross-sectional data) is further improved; in addition, a pseudo-color display function is introduced, which can perform pseudo-color processing on the cross-sectional data according to user instructions to generate pseudo-color display data corresponding to the cross-sectional data. This function not only enhances the visualization effect of the data, making the valve morphology more intuitive and easy to understand, but also improves the user experience and convenience of operation.

[0146] In another optional embodiment, the list of items associated with valve stereo analysis also includes three-dimensional volume rendering;

[0147] Based on the case management function, target control operations are performed on target cases according to operation items and item details, and the target control operation results for the target cases are obtained in the following ways:

[0148] When the operation items include valve stereo analysis, and the item details include three-dimensional volume rendering, a volume rendering image corresponding to at least one third CT image is drawn according to a preset three-dimensional volume rendering technology; all CT images include all third CT images;

[0149] Based on the intelligent processing system, all volume rendering images are parameter filled with preset target volume rendering parameters to obtain parameter filling results corresponding to all volume rendering images;

[0150] Add the parameter filling results to the target control operation results of the target case.

[0151] In this optional embodiment, the target volume rendering parameters include first volume rendering parameters and second volume rendering parameters;

[0152] The first volume rendering parameters include parameters corresponding to translation, rotation, and scaling; the first volume rendering parameters are used to switch the viewing angle of any volume rendering image;

[0153] The second volume rendering parameters include parameters corresponding to window width, window level, and rendering color.

[0154] It can be seen that in this optional embodiment, the preset three-dimensional volume rendering technology is used, which not only realizes the conversion from two-dimensional images to three-dimensional images, but also retains the original details and features of the images, enriches the visualization means of valve stereoscopic analysis, and provides a more intuitive and accurate valve morphology display; and, through the integration of the intelligent processing system, it is possible to perform parameter filling on all volume rendering images based on the preset target volume rendering parameters to obtain parameter filling results corresponding to all volume rendering images. This step not only improves the degree of automation of data processing, but also ensures the accuracy and consistency of the evaluation results, reduces the need for human intervention, and is conducive to improving the accuracy and reliability of the determination of the parameter filling results.

[0155] Embodiment 3

[0156] See also Figure 3 , Figure 3 It is a structural diagram of an intelligent processing system for TAVR data disclosed in an embodiment of the present invention. The intelligent processing system for TAVR data can be an intelligent processing terminal, device, apparatus or server for TAVR data. The server can be a local server, a remote server, or a cloud server (also known as a cloud server). When the server is a non-cloud server, the non-cloud server can communicate with the cloud server, which is not limited in the embodiment of the present invention. Figure 3 As shown, the intelligent processing system of TAVR data may include a judgment module 301, a detection module 302, a generation module 303, a determination module 304 and a control module 305, wherein:

[0157] The judgment module 301 is used to judge whether the current to-be-accessed function of the access instruction is a case management function when an access instruction to the intelligent processing system is detected.

[0158] The detection module 302 is used to detect whether there is a target case matching the access instruction in the case management function when the judgment module 301 judges that the function to be accessed of the access instruction is the case management function.

[0159] The generating module 303 is configured to generate a target case matching the access instruction when the detecting module 302 detects that there is no target case matching the access instruction in the case management function.

[0160] Determination module 304 is used to determine the operation items of the access instruction for the target case, and determine the target item details of the operation items for the access instruction; the operation items include any one of valve plane analysis, valve three-dimensional analysis and case report generation; and the data used in any operation item includes TAVR data; each operation item has its associated item details.

[0161] The control module 305 is used to perform target control operations on the target case according to the operation items and item details based on the case management function, and obtain the target control operation results for the target case;

[0162] Among them, the details of matters associated with valve plane analysis include at least segmentation area marking and / or preset indicator processing; the details of matters associated with valve stereoscopic analysis include at least key plane display and cross-sectional pseudo-color photo display; the details of matters associated with case report generation include at least report generation and export.

[0163] It can be seen that implementation Figure 3 The described intelligent processing system for TAVR data is provided with a rapid response mechanism for access instructions of the intelligent processing system, especially for access instructions of case management functions, which is conducive to improving the response speed of instructions related to case management functions; in the case that there is no target case matching the access instruction in the case management function, a new target case matching it can be automatically generated, which is conducive to improving the adaptability and flexibility of use of the system; further, the operation items for the target case can be accurately identified according to the access instruction, such as valve plane analysis, valve three-dimensional analysis and case report generation, and further refined to the specific item details of each operation item; this refined management method makes each step of the operation have clear guidance and basis, and improves the response accuracy and reliability of the access instruction; in addition, the item details associated with case report generation include the function of report generation and export. The setting of this function greatly simplifies the report preparation process, which is conducive to improving the work efficiency of operators in handling report preparation items, that is, improving the convenience of operators using the intelligent processing system.

[0164] In an optional embodiment, the case record data of the target case includes TAVR data, and the TAVR data includes a plurality of CT images of artificial valves;

[0165] Also, see Figure 4 , Figure 4 FIG. 1 is a schematic diagram of another intelligent processing system for TAVR data disclosed in an embodiment of the present invention. Figure 4 As shown, the control module 305 may specifically include an image segmentation submodule 3051 and an indicator processing submodule 3052, wherein:

[0166] The image segmentation submodule 3051 is used to perform segmentation on the calcified area in the first CT image according to a preset image segmentation algorithm when the operation items include valve plane analysis and the item details include segmentation area annotation, to obtain a segmentation result corresponding to the first CT image; and add the segmentation result to the target management and control operation result of the target case.

[0167] The indicator processing submodule 3052 is used to determine the target indicator to be processed when the operation items include valve plane analysis and the item details include preset indicator processing.

[0168] The indicator processing submodule 3052 is further used to perform indicator measurement and / or indicator labeling operations on the second CT image based on the target indicator and in combination with the historical indicator record data and indicator processing requirements of the target indicator, obtain the indicator processing result corresponding to the second CT image, and add the indicator processing result to the target control operation result of the target case;

[0169] The first CT image and the second CT image correspond to at least one image among all CT images; the target index includes at least one of the intersection of the artificial valve, the symmetry of the leaflets, and the degree of restriction of the movement of the leaflets.

[0170] It can be seen that in this optional embodiment, a corresponding detailed response process is set for the subdivided functional segmentation area labeling and preset indicator processing of valve plane analysis. Specifically, through the preset image segmentation algorithm, the calcification area in the first CT image can be automatically and accurately segmented, which not only helps to reduce the workload of manual labeling, but also helps to improve the segmentation accuracy and consistency of the first CT image; and, for the processing of preset indicators (such as artificial valve intersections, leaflet symmetry, leaflet activity restriction and other key indicators), by combining historical indicator record data with indicator processing requirements, intelligent measurement and / or labeling of the second CT image is achieved. This data-based dynamic processing method is conducive to improving the operator's measurement speed and accuracy of the target indicator, improving the operator's convenience of use while also improving the practicality of the intelligent processing system.

[0171] In another optional embodiment, the list of items associated with valve plane analysis further includes cardiac cycle index construction and / or multi-plane reconstruction;

[0172] like Figure 4 As shown, the control module 305 may also include a construction submodule 3053 and a multi-plane reconstruction submodule 3054, wherein:

[0173] Construction submodule 3053, for determining that the target case is a newly generated case when the operation items include valve plane analysis and the item details include cardiac cycle index construction, and creating a cardiac cycle index matching the case record data; the cardiac cycle index is used to display the reference directory corresponding to the case record data for the review personnel; and adding the cardiac cycle index to the target control operation result of the target case;

[0174] The multi-planar reconstruction submodule 3054 is used to perform a multi-planar reconstruction operation on all CT images based on the section position and section direction as adjustment references when the operation items include valve plane analysis and the item details include multi-planar reconstruction, and obtain multi-planar reconstruction results corresponding to all CT images; the multi-planar reconstruction results corresponding to all CT images include the coronal plane, sagittal plane and transverse section corresponding to the artificial valve;

[0175] The multi-planar reconstruction submodule 3054 is further used to add the multi-planar reconstruction result to the target management and control operation result for the target case.

[0176] It can be seen that in this optional embodiment, when the operation item involves valve plane analysis and includes the construction of a cardiac cycle index, it can automatically determine that the target case is the currently newly generated case, and quickly create a cardiac cycle index that matches the case record data. The construction of this index can provide a clear and intuitive reference directory for the reviewer, so that the reviewer can quickly locate the cardiac cycle stage of interest, which is beneficial to improving the reviewer's review and analysis efficiency for specific cardiac cycle data; and, for operation items involving multi-plane reconstruction, it is also possible to perform multi-plane reconstruction operations on all CT images with the section position and section direction as the adjustment reference, thereby obtaining multi-plane reconstruction results such as the coronal plane, sagittal plane and transverse plane corresponding to the artificial valve, which provides the reviewer with detailed morphological information of the valve in different planes, which is beneficial to improving the reviewer's review convenience and improving the practicality of the intelligent processing system.

[0177] In yet another optional embodiment, Figure 4 As shown, the control module 305 may also include a plane display submodule 3055, wherein:

[0178] The plane display submodule 3055 is used to extract plane analysis data corresponding to the valve plane analysis from the case record data when the operation items include valve stereo analysis, and, based on the cross-section corresponding to the artificial valve, extract cross-sectional data corresponding to the cross-section from the plane analysis data; the cross-sectional data includes cross-sections at different cutting angles; and add the cross-sectional data to the target management and control operation results of the target case.

[0179] like Figure 4As shown, the control module 305 may also include a pseudo-color display submodule 3056, wherein:

[0180] The pseudo-color display submodule 3056 is used to detect whether a pseudo-color display instruction for the cross-sectional data is received, and when it is detected that a pseudo-color display instruction is received, pseudo-color processing is performed on the cross-sectional data to obtain pseudo-color display data corresponding to the cross-sectional data;

[0181] The pseudo-color display submodule 3056 is further used to add pseudo-color display data to the target management and control operation results of the target case.

[0182] It can be seen that in this optional embodiment, the plane analysis data corresponding to the valve plane analysis can be intelligently extracted from the case record data, and further based on the cross-section corresponding to the artificial valve, the cross-sectional data corresponding to the cross-section can be accurately extracted, thereby improving the extraction efficiency and accuracy of the required cross-sectional data, and at the same time, it is also beneficial to improve the convenience of the review personnel in reviewing the cross-sectional data; wherein, by extracting cross-sectional data of different section angles, the three-dimensional morphology of the valve can be fully displayed, and the display accuracy of the valve analysis data (the cross-sectional data) is further improved; in addition, a pseudo-color display function is introduced, which can perform pseudo-color processing on the cross-sectional data according to user instructions to generate pseudo-color display data corresponding to the cross-sectional data. This function not only enhances the visualization effect of the data, making the valve morphology more intuitive and easy to understand, but also improves the user experience and convenience of operation.

[0183] In another optional embodiment, the list of items associated with valve stereo analysis also includes three-dimensional volume rendering;

[0184] like Figure 4 As shown, the control module 305 may also include a three-dimensional volume rendering submodule 3057, wherein:

[0185] The three-dimensional volume rendering submodule 3057 is used to draw a volume rendering image corresponding to at least one third CT image according to a preset three-dimensional volume rendering technology when the operation item includes valve stereo analysis and the item details include three-dimensional volume rendering; all CT images include all third CT images;

[0186] The three-dimensional volume rendering submodule 3057 is further used to perform parameter filling on all volume rendering images with preset target volume rendering parameters based on the intelligent processing system to obtain parameter filling results corresponding to all volume rendering images;

[0187] The three-dimensional volume rendering submodule 3057 is also used to add the parameter filling result to the target control operation result of the target case.

[0188] In this optional embodiment, the target volume rendering parameters include first volume rendering parameters and second volume rendering parameters;

[0189] The first volume rendering parameters include parameters corresponding to translation, rotation, and scaling; the first volume rendering parameters are used to switch the viewing angle of any volume rendering image;

[0190] The second volume rendering parameters include parameters corresponding to window width, window level, and rendering color.

[0191] It can be seen that in this optional embodiment, the preset three-dimensional volume rendering technology is used, which not only realizes the conversion from two-dimensional images to three-dimensional images, but also retains the original details and features of the images, enriches the visualization means of valve stereoscopic analysis, and provides a more intuitive and accurate valve morphology display; and, through the integration of the intelligent processing system, it is possible to perform parameter filling on all volume rendering images based on the preset target volume rendering parameters to obtain parameter filling results corresponding to all volume rendering images. This step not only improves the degree of automation of data processing, but also ensures the accuracy and consistency of the evaluation results, reduces the need for human intervention, and is conducive to improving the accuracy and reliability of the determination of the parameter filling results.

[0192] In yet another optional embodiment, Figure 4 As shown, the control module 305 may also include a case report generation submodule 3058, wherein:

[0193] A case report generation submodule 3058 is used to obtain the first CT image and its corresponding segmentation result, the second CT image and its corresponding index processing data as data to be sorted when the operation item includes case report generation;

[0194] The case report generation submodule 3058 is further used to generate text analysis information for the target case based on the second CT image and its corresponding indicator processing data;

[0195] The case report generation submodule 3058 is further used to generate a case report for a target case according to the data to be collated and the text analysis information; and to store the target case and its corresponding case report according to a set storage format.

[0196] It can be seen that in this optional embodiment, data can be processed according to the second CT image and its corresponding indicators to automatically generate text analysis information for the target case. The automatic generation process of the text analysis information avoids errors caused by human factors, which not only improves the efficiency of report generation, but also ensures the accuracy and consistency of the analysis information. In addition, when generating the required case report, the case report can be generated by integrating the data to be sorted and the multidimensional data corresponding to the text analysis information, which is conducive to improving the accuracy of case report generation. In addition, the generation of the case report also follows the preset storage format, ensuring the standardization and readability of the report.

[0197] Embodiment 4

[0198] See also Figure 5 , Figure 5 FIG. 1 is a schematic diagram of the structure of another intelligent processing device for TAVR data disclosed in an embodiment of the present invention. Figure 5 As shown, the intelligent processing device of TAVR data may include:

[0199] A memory 401 storing executable program codes;

[0200] a processor 402 coupled to the memory 401;

[0201] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the intelligent processing method of TAVR data described in the first embodiment of the present invention or the second embodiment of the present invention.

[0202] Embodiment 5

[0203] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the intelligent processing method of TAVR data described in Embodiment 1 or Embodiment 2 of the present invention.

[0204] Embodiment 6

[0205] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the intelligent processing method of TAVR data described in Embodiment 1 or Embodiment 2.

[0206] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0207] Through the specific 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 a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0208] Finally, it should be noted that the intelligent processing method, system and device for TAVR data disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent processing method for TAVR data, characterized in that: The method is applied in an intelligent processing system for TAVR data, and the method comprises: When an access instruction to the intelligent processing system is detected, determining whether the function to be accessed by the access instruction is a case management function, and when determining that the function to be accessed by the access instruction is the case management function, detecting whether there is a target case matching the access instruction in the case management function; When it is detected that there is no target case matching the access instruction in the case management function, generating a target case matching the access instruction; Determine the operation items of the access instruction for the target case, and determine the target item details of the access instruction for the operation items; the operation items include any one of valve plane analysis, valve three-dimensional analysis and case report generation; and the data used in any one of the operation items includes the TAVR data; each of the operation items has its associated item details; Based on the case management function, perform target control operations on the target case according to the operation items and the item details, and obtain target control operation results for the target case; Among them, the details of matters associated with the valve plane analysis include at least segmentation area marking and / or preset indicator processing; the details of matters associated with the valve stereoscopic analysis include at least key plane display and cross-sectional pseudo-color photo display; the details of matters associated with the case report generation include at least report generation and export.

2. The intelligent processing method of TAVR data according to claim 1, characterized in that: The case record data of the target case includes the TAVR data, and the TAVR data includes a plurality of CT images of artificial valves; Based on the case management function, the target control operation is performed on the target case according to the operation items and the item details to obtain the target control operation result for the target case, including: When the operation items include the valve plane analysis, and the item details include the segmented area annotation, segmenting the calcified area in the first CT image according to a preset image segmentation algorithm to obtain a segmentation result corresponding to the first CT image; and adding the segmentation result to the target control operation result of the target case; When the operation items include the valve plane analysis, and the item details include the preset indicator processing, determine the target indicator to be processed, and take the target indicator as a benchmark, combine the historical indicator record data of the target indicator and the indicator processing requirements, perform indicator measurement and / or indicator labeling operations on the second CT image, obtain the indicator processing result corresponding to the second CT image, and add the indicator processing result to the target control operation result of the target case; Among them, the first CT image and the second CT image correspond to at least one image among all the CT images; the target index includes at least one index of the intersection of the artificial valve, the symmetry of the leaflets, and the degree of restriction of the movement of the leaflets.

3. The intelligent processing method of TAVR data according to claim 2, characterized in that: The details of matters associated with the valve plane analysis also include cardiac cycle index construction and / or multi-plane reconstruction; Based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case, further comprising: When the operation items include the valve plane analysis, and the item details include the construction of the cardiac cycle index, the target case is determined to be a newly generated case, and a cardiac cycle index matching the case record data is created; the cardiac cycle index is used to display the reference directory corresponding to the case record data for the review personnel; the cardiac cycle index is added to the target management and control operation result of the target case; When the operation items include the valve plane analysis, and the item details include the multi-plane reconstruction, the multi-plane reconstruction operation is performed on all the CT images with the section position and section direction as the adjustment reference to obtain the multi-plane reconstruction results corresponding to all the CT images; the multi-plane reconstruction results corresponding to all the CT images include the coronal plane, sagittal plane and transverse section corresponding to the artificial valve; The multi-planar reconstruction result is added to the target management and control operation result for the target case.

4. The intelligent processing method for TAVR data according to claim 2 or 3, characterized in that: Based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case, further comprising: When the operation items include the three-dimensional analysis of the valve, plane analysis data corresponding to the plane analysis of the valve is extracted from the case record data, and cross-sectional data corresponding to the cross-sectional area is extracted from the plane analysis data based on the cross-sectional area corresponding to the artificial valve; the cross-sectional data includes the cross-sectional areas at different section angles; and the cross-sectional data is added to the target control operation result of the target case; The method further comprises: detecting whether a pseudo-color display instruction for the cross-sectional data is received, and when it is detected that the pseudo-color display instruction is received, performing pseudo-color processing on the cross-sectional data to obtain pseudo-color display data corresponding to the cross-sectional data; The pseudo-color display data is added to the target management and control operation result of the target case.

5. The intelligent processing method of TAVR data according to claim 4, characterized in that: The details of matters associated with the valve stereo analysis also include three-dimensional volume rendering; Based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case, further comprising: When the operation items include the valve stereo analysis, and the item details include the three-dimensional volume rendering, a volume rendering image corresponding to at least one third CT image is drawn according to a preset three-dimensional volume rendering technology; all the CT images include all the third CT images; Based on the intelligent processing system, performing parameter filling on all the volume rendering images with preset target volume rendering parameters to obtain parameter filling results corresponding to all the volume rendering images; The parameter filling result is added to the target management and control operation result of the target case.

6. The intelligent processing method of TAVR data according to claim 5, characterized in that: The target volume rendering parameters include a first volume rendering parameter and a second volume rendering parameter; The first volume rendering parameters include parameters corresponding to translation, rotation, and scaling; the first volume rendering parameters are used to switch the viewing angle of any of the volume rendering images; The second volume rendering parameters include parameters corresponding to window width, window level, and rendering color.

7. The intelligent processing method for TAVR data according to claim 2, 3, 5 or 6, characterized in that: Based on the case management function, performing a target control operation on the target case according to the operation items and the item details to obtain a target control operation result for the target case, further comprising: When the operation item includes generating the case report, obtaining the first CT image and the corresponding segmentation result, the second CT image and the corresponding index processing data as data to be sorted; generating text analysis information for the target case according to the second CT image and the corresponding indicator processing data; A case report for the target case is generated according to the data to be sorted and the text analysis information; and the target case and the corresponding case report are stored according to a set storage format.

8. An intelligent processing system for TAVR data, characterized in that: The intelligent processing system is applied to the intelligent processing method of TAVR data, and the intelligent processing system includes: A judgment module, configured to, when an access instruction to the intelligent processing system is detected, judge whether the current function to be accessed by the access instruction is a case management function; a detection module, configured to detect whether there is a target case matching the access instruction in the case management function when the judgment module determines that the function to be accessed of the access instruction is the case management function; a generating module, configured to generate a target case matching the access instruction when the detecting module detects that there is no target case matching the access instruction in the case management function; A determination module, used to determine the operation items of the access instruction for the target case, and determine the target item details of the access instruction for the operation items; the operation items include any one of valve plane analysis, valve three-dimensional analysis and case report generation; and the data used in any of the operation items include the TAVR data; each of the operation items has its associated item details; A control module, configured to perform a target control operation on the target case according to the operation items and the item details based on the case management function, and obtain a target control operation result for the target case; Among them, the details of matters associated with the valve plane analysis include at least segmentation area marking and / or preset indicator processing; the details of matters associated with the valve stereoscopic analysis include at least key plane display and cross-sectional pseudo-color photo display; the details of matters associated with the case report generation include at least report generation and export.

9. An intelligent processing device for TAVR data, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent processing method for TAVR data according to any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent processing method for TAVR data according to any one of claims 1-7.

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