Medical imaging testing method and system

Abstract

The present invention discloses a medical image testing method and system, including: a model includes at least one function point, first data of the function point is obtained and saved; a medical image is constructed according to the first data, second data of the function point in the medical image is obtained and saved; in the medical image, any function point is selected as a test point; first data of the test point and second data of the test point are obtained; the first data of the test point and the second data of the test point are compared to test the medical image. By verifying the first data of the test point and the second data of the test point, the accuracy of the medical image can be quickly judged and the error position can be located, which is more targeted and reduces labor costs.

Description

Technical Field

[0001] The present invention relates to the technical field of medical image processing, and more specifically, to a medical image testing method and system. Background Art

[0002] Magnetic Resonance Imaging (MRI) is a type of tomographic imaging that uses the magnetic resonance phenomenon to obtain electromagnetic signals from the human body and reconstruct human body information. It can be applied to imaging diagnosis of various systems throughout the body.

[0003] At present, medical imaging data is processed by uploading Magnetic Resonance Imaging MRI containing parameters such as longitudinal relaxation time quantification, transverse relaxation time quantification and blood oxygen level dependence, and then testers manually test to obtain a series of analysis parameters such as related functions and structures, which are used for clinical research analysis. However, for medical imaging data processing methods with variable requirements, manual functional testing by testers alone can no longer meet the changing application scenarios.

[0004] In the prior art, after the medical image is processed and changed, it is first necessary to test the accuracy of the changed medical image. However, there is no technical solution in the prior art that can verify the details of the medical image after the change. It is still necessary to manually check whether there are errors in the data before and after the medical image is changed.

[0005] Therefore, providing a method and system for automatically implementing medical image testing is an urgent problem to be solved. Summary of the invention

[0006] In view of this, the present invention provides a medical imaging testing method and system.

[0007] In one aspect, the present invention provides a medical imaging testing method, comprising:

[0008] The model includes at least one function point, and first data of the function point is obtained and saved;

[0009] Construct a medical image according to the first data, and obtain and save second data of the functional point in the medical image;

[0010] In the medical image, any one of the functional points is selected as a test point;

[0011] Acquire the first data of the test point and the second data of the test point;

[0012] The first data of the test point and the second data of the test point are compared to test the medical image.

[0013] Preferably, the first data is saved through a first path, and the second data is saved through a second path.

[0014] Preferably, the model includes the 1st functional area to the Nth functional area, N>1 and N is an integer; the Mth functional area includes the 1st cortex to the Kth cortex, 1≤M≤N and M is an integer, K>1 and K is an integer; the Lth cortex includes the 1st functional point to the Pth functional point, 1≤L≤K and L is an integer, P>1 and P is an integer;

[0015] When saving the first data and the second data, the first functional partition to the Nth functional partition are arranged sequentially as a first-level storage directory; in the Mth functional partition, the first cortex to the Kth cortex are arranged sequentially as a second-level storage directory; in the Lth cortex, the first function point to the Pth function point are arranged sequentially as a tertiary storage directory.

[0016] Preferably, in the three-level storage directory, each functional point stores at least one of a cortical thickness parameter, a sulcus depth parameter, a functional partition average thickness parameter, and a functional partition average depth parameter.

[0017] Preferably, the acquiring the second data of the test point includes:

[0018] Determine that the test point belongs to the Mth functional partition, determine that the test point belongs to the Lth cortex in the Mth functional partition, determine that the test point is the Qth functional point in the Lth cortex, where 1≤Q≤P and Q is an integer;

[0019] The location of the second data storage is found through the second path, and then according to the first-level storage directory, the search is performed in sequence from the first functional partition to the Nth functional partition to find the Mth functional partition; according to the second-level storage directory, the search is performed in sequence from the first cortex to the Kth cortex in the Mth functional partition to find the Lth cortex; according to the third-level storage directory, the search is performed in sequence from the first function point to the Pth function point in the Lth cortex, and when the Qth function point is found, the second data of the Qth function point is obtained as the second data of the test point.

[0020] Preferably, the acquiring the first data of the test point includes:

[0021] The location of the first data storage is found through the first path, and then according to the first-level storage directory, the search is performed in sequence from the first functional partition to the Nth functional partition to find the Mth functional partition; according to the second-level storage directory, the search is performed in sequence from the first cortex to the Kth cortex in the Mth functional partition to find the Lth cortex; according to the third-level storage directory, the search is performed in sequence from the first function point to the Pth function point in the Lth cortex, and when the Qth function point is found, the first data of the Qth function point is obtained as the first data of the test point.

[0022] Preferably, after acquiring the second data of the test point, the method further includes:

[0023] In the medical image, the second data of the test point is displayed, and the Mth functional partition to which the test point belongs is displayed in a first color, the Lth cortex to which the test point belongs is displayed in a second color, and the test point is displayed in a third color, and the first color, the second color and the third color are different.

[0024] In another aspect, the present invention provides a medical imaging testing system, comprising:

[0025] a data processing module, coupled to the database module and the medical image construction module respectively, for acquiring first data of a function point, wherein the model includes at least one of the function points;

[0026] The medical image construction module is coupled to the data processing module and the database module respectively, and is used to construct a medical image according to the first data and obtain the second data of the function point in the medical image;

[0027] The database module is coupled to the data processing module, the medical image construction module, and the search module, respectively, and is used to store the first data and the second data;

[0028] A selection module, coupled to the search module, for selecting any one of the function points as a test point;

[0029] The search module is coupled to the database module, the selection module, and the comparison module, respectively, and is used to obtain the first data of the test point and the second data of the test point;

[0030] The comparison module is coupled to the search module, and is used to compare the first data of the test point with the second data of the test point to test the medical image.

[0031] Preferably, the search module further comprises an area limiting unit for determining the functional partition to which the test point belongs, determining the cortex to which the test point belongs within the functional partition, and determining the test point as the Qth functional point within the cortex, where Q is a positive integer.

[0032] Preferably, it also includes a display module, which is coupled to the search module and is used to display the second data of the test point in the medical image, and display the functional partition to which the test point belongs in a first color, display the cortex to which the test point belongs in a second color, and display the test point in a third color, and the first color, the second color and the third color are different.

[0033] Compared with the prior art, the medical imaging testing method provided by the present invention achieves at least the following beneficial effects:

[0034] In the medical image testing method provided by the present invention, the model includes at least one function point, the first data of the function point is obtained and saved; the medical image is constructed according to the first data, the second data of the function point in the medical image is obtained and saved, and in the process of constructing the medical image according to the first data, the version can be changed according to different needs, and the second data of the function point in the medical image obtained after the version change should be the same as the first data corresponding to it. In the medical image, any function point is selected as a test point, the test point is analyzed, the first data of the test point and the second data of the test point are obtained, and the first data of the test point and the second data of the test point are compared to test the medical image. If the first data of the test point and the second data of the test point are the same, the medical image obtained after the version change has high accuracy and no effect on the function. By verifying the first data of the test point and the second data of the test point, the accuracy of the medical image can be quickly judged and the error position can be located, which is more targeted and reduces labor costs.

[0035] Of course, any product implementing the present invention does not necessarily need to achieve all of the technical effects described above at the same time.

[0036] Further features and advantages of the present invention will become apparent from the following detailed description of exemplary embodiments of the present invention with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0038] Figure 1 It is a flow chart of the medical imaging testing method provided by the present invention;

[0039] Figure 2A flow chart for obtaining second data of a test point;

[0040] Figure 3 A flow chart for obtaining first data of a test point;

[0041] Figure 4 It is a structural schematic diagram of the medical imaging testing system provided by the present invention;

[0042] 1-data processing module, 2-medical image construction module, 3-database module, 4-selection module, 5-search module, 6-comparison module, 7-display module, 8-region limitation unit. DETAILED DESCRIPTION

[0043] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless otherwise specifically stated.

[0044] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0045] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0046] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0047] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0048] Combination Figure 1 , Figure 1 is a flow chart of the medical imaging test method provided by the present invention. This embodiment provides a specific embodiment of the medical imaging test method, including:

[0049] S101: The model includes at least one function point, and first data of the function point is obtained and saved;

[0050] S102: construct a medical image according to the first data, obtain and save second data of functional points in the medical image;

[0051] S103: In the medical image, any functional point is selected as a test point;

[0052] S104: Acquire first data of a test point and second data of a test point;

[0053] S105: Compare the first data of the test point with the second data of the test point to test the medical image.

[0054] It can be understood that, taking the model as a brain model, constructing a medical image based on the first data can be a version change process. Version change refers to raising some demand optimization problems. For example, the upper limb motor area and the lower limb motor area in the 18 partitions of the brain model need to be merged, and the merged area is called the limb motor area. The medical image obtained by processing the first data according to this requirement has a new function, that is, the partitions are different. Version change can also add a screenshot function to capture screenshots of the inner, outer, left and right sections of different cortical surfaces; version change can also add a measurement function. In the measurement mode, the distance between the cortices is measured by a straight line, and the area of ​​the demarcated area is calculated by a broken line, but it is not limited to this. The specific process of constructing a medical image based on the first data is obtained through the processing process of the brain magnetic resonance image, including bone removal, partitioning and other processes. In the medical image, any functional point is selected as a test point, the second data of the test point is obtained, the first data of the test point is obtained, the second data of the test point is compared with the first data of the test point, and the medical image is tested. Because the brain model is fixed, the first data of the functional point of the brain model is the original data. After the version is changed, the parameters corresponding to the functional point in the medical image should be the same as its first data. By comparing whether the first data and the second data of the test point are the same, the accuracy of the medical image can be judged. If the parameters are different, the error position can also be directly located.

[0055] Compared with the prior art, the medical imaging testing method provided in this embodiment has the following advantages:

[0056] In the medical image testing method provided by the present invention, the model includes at least one function point, the first data of the function point is obtained and saved; the medical image is constructed according to the first data, the second data of the function point in the medical image is obtained and saved, and in the process of constructing the medical image according to the first data, the version can be changed according to different needs, and the second data of the function point in the medical image obtained after the version change should be the same as the first data corresponding to it. In the medical image, any function point is selected as a test point, the test point is analyzed, the first data of the test point and the second data of the test point are obtained, and the first data of the test point and the second data of the test point are compared to test the medical image. If the first data of the test point and the second data of the test point are the same, the medical image obtained after the version change has high accuracy and no effect on the function. By verifying the first data of the test point and the second data of the test point, the accuracy of the medical image can be quickly judged and the error position can be located, which is more targeted and reduces labor costs.

[0057] In some optional embodiments, the first data is saved through a first path, and the second data is saved through a second path.

[0058] It can be understood that the first data and the second data are located in different locations after being saved, and the first path and the second path are both absolute paths. The first path can directly reach the first data saving location, and the second path can directly reach the second data saving location, which saves time in searching for data. The location where the data is saved is fixed, which is convenient for later definition of the storage path variable value.

[0059] In some optional embodiments, the model includes the 1st functional partition to the Nth functional partition, N>1 and N is an integer; the Mth functional partition includes the 1st cortex to the Kth cortex, 1≤M≤N and M is an integer, K>1 and K is an integer; the Lth cortex includes the 1st function point to the Pth function point, 1≤L≤K and L is an integer, P>1 and P is an integer;

[0060] When saving the first data and the second data, the 1st functional partition to the Nth functional partition are arranged sequentially as a first-level storage directory; in the Mth functional partition, the 1st cortex to the Kth cortex are arranged sequentially as a second-level storage directory; in the Lth cortex, the 1st function point to the Pth function point are arranged sequentially as a tertiary storage directory.

[0061] It is understandable that, since the model includes multiple functional partitions, each functional partition includes multiple cortices, and each cortex includes multiple functional points, the functional points are partitioned and hierarchically arranged in sequence for storage, which is convenient for subsequent search, and the functional partitions, cortices and functional points are connected, which can also facilitate the subsequent linkage display of the three. However, this implementation only describes a data storage method, but is not limited to this. Functional partitions include 18 functional partitions, 92 functional partitions, 152 functional partitions, 213 functional partitions, etc.; the cortex includes the inner membrane surface, the left brain inner membrane surface, the right brain inner membrane surface, the white matter surface, the left brain white matter surface, the right brain white matter surface, the left brain expansion surface, the right brain expansion surface, etc.; and any position with function in the brain model can be used as a functional point. The above functional partitions, cortices and functional points are only for illustration, but not limited to this.

[0062] In some optional embodiments, in the three-level storage directory, each functional point stores at least one of a cortical thickness parameter, a sulcus depth parameter, a functional partition average thickness parameter, and a functional partition average depth parameter.

[0063] It can be understood that the cortical thickness parameter (Cort.Thkns), sulcus depth parameter (Sulcal.Depth), functional partition average thickness parameter (Avg.Cort.Thick), and functional partition average depth parameter (Avg.Sulcal.Depth) in the first data and the second data of the same functional point should be the same, but the parameters stored in the functional point are not limited to this and can be modified as needed.

[0064] In some optional embodiments, referring to Figure 2 , Figure 2 The invention is a flow chart for obtaining the second data of the test point, and obtaining the second data of the test point includes:

[0065] S1041: Determine that the test point belongs to the Mth functional partition, determine that the test point belongs to the Lth cortex in the Mth functional partition, and determine that the test point is the Qth functional point in the Lth cortex, where 1≤Q≤P and Q is an integer;

[0066] S1042: Find the location of the second data storage through the second path, and then search from the first functional partition to the Nth functional partition in sequence according to the first-level storage directory to find the Mth functional partition;

[0067] S1043: Searching in sequence from the 1st cortex to the Kth cortex in the Mth functional partition according to the secondary storage directory to find the Lth cortex;

[0068] S1044: According to the three-level storage directory, search from the 1st function point to the Pth function point in the Lth cortex in sequence, and when the Qth function point is found, obtain the second data of the Qth function point as the second data of the test point.

[0069] It is understandable that first determining the functional partition where the test point is located, and then determining the cortex where the test point is located on this basis, can find the functional point more quickly, conveniently and accurately. Through the second path, find the location where the second data is stored. This embodiment provides a specific search method. According to the first data, a medical image is obtained, and the storage location is found according to the storage path of the medical image. Specifically, through quality control-BOLD scan signal-to-noise ratio-volume view, right-click on the screenshot of the volume view-check, and then according to

[0070] Find the storage location. The search method provided in this embodiment is only illustrative and is not limited thereto. When searching, the files can be traversed in a For loop. Specifically, the +1 rule is used for searching. For example, when searching for the 10th functional point in the 5th cortex of the 18th functional partition, first determine the functional partition. The initial value of the +1 rule is 0, that is, the 0 + 1 functional partition is searched for the first time, and the loop traversal is continuously performed until the 17 + 1 functional partition is found. In the 18th functional partition, the +1 rule is used to search for the 5th cortex; similarly, the initial value of the +1 rule is 0, that is, the 0 + 1 cortex is searched for the first time, and the loop traversal is continuously performed until the 4 + 1 cortex is found. In the 5th cortex, the +1 rule is used to search for the 10th functional point; similarly, the initial value of the +1 rule is 0, that is, the 0 + 1 functional point is searched for the first time, and the loop traversal is continuously performed until the 9 + 1 functional point is found, and the parameters within the 10th functional point are obtained.

[0071] In some alternative embodiments, refer to Figure 3 , Figure 3 is a flowchart for obtaining the first data of a test point. Obtaining the first data corresponding to the test point includes:

[0072] S1051: Through the first path, find the location where the first data is stored, and then sequentially search from the 1st functional partition to the Nth functional partition according to the first-level storage directory to find the Mth functional partition;

[0073] S1052: According to the second-level storage directory, sequentially search from the 1st cortex to the Kth cortex in the Mth functional partition to find the Lth cortex;

[0074] S1053: According to the third-level storage directory, sequentially search from the 1st functional point to the Pth functional point in the Lth cortex. When the Qth functional point is found, obtain the first data of the Qth functional point as the first data of the test point.

[0075] It can be understood that this embodiment provides a specific method for finding the location where the first data is stored through the first path. For example: Directory search can be used

[0076] test--ng--main--PxkNFzxLc-- / viz / recon / thickness.txt.gz, thereby finding the save location. The method for finding the first data storage location provided in this embodiment is only for illustration, but is not limited to this. When searching, the file is traversed by the For loop method and the +1 rule is used for searching. Specifically, it is the same as the above search method, and no further elaboration is made here.

[0077] In some optional embodiments, after acquiring the second data of the test point, the method further includes:

[0078] In the medical image, the second data of the test point is displayed, and the Mth functional partition to which the test point belongs is displayed in the first color, the Lth cortex to which the test point belongs is displayed in the second color, and the test point is displayed in the third color, and the first color, the second color and the third color are different.

[0079] It is understandable that after obtaining the second data of the test point, the second data of the test point can be displayed in the medical image, and the parameter analysis of the test point can be directly performed for subsequent use. On the basis of highlighting the test point in the medical image, the Mth functional partition to which the test point belongs is displayed in the first color, the Lth cortex to which the test point belongs is displayed in the second color, and the test point is highlighted in the third color, which can intuitively reflect the test point and its relationship, and the test point, functional partition and cortex are synchronously linked in real time in the medical image, and the relevant parameter information of the test point can also be synchronously displayed, which has certain guiding significance.

[0080] In some specific embodiments, the first data of the test point and the second data of the test point are compared, and the medical image can be tested automatically by a program. In this embodiment, a method for comparing the first data of the test point and the second data of the test point is provided, specifically: verify the lh60713 cortical thickness (Cort.Thkns) field, first find the cortical thickness value corresponding to 60714 from the original file thickness.txt.gz through 60713+1, if it is: 0.3456, and then find the cortical thickness (Cort.Thkns) value of lh60713 from the latest processed Surface, if it is: 0.3567, it is found that there is a difference after the decimal place, then it is necessary to investigate the cause of the difference, whether this version modification affects the surface function partitioning function, and then further locate the cause. This embodiment also provides another method of comparing the first data of the test point with the second data of the test point to verify the lh60713 sulcal depth field. First, the sulcal depth value corresponding to 60714 is found from the original file sulc.txt.gz through 60713+1. If it is: 0.4357, then the sulcal depth (Sulcal.Depth) value of lh60713 is found from the latest processed Surface. If it is also 0.4357, it can be basically determined that the related modifications of this release have no effect on the surface functional partitioning function.

[0081] It can be understood that each function point has a unique code. When searching for the first data and the second data of the function point, the search can be performed through the unique code. In the present embodiment, lh60713 is a unique code for a function point. Specifically, lh represents the left brain position, and 60713 represents that the test point is the 60713th function point. The function point lh60713 is automatically verified as a test point. In the present embodiment, the +1 rule is used for searching, and the initial value of the +1 rule is 0, that is, the function point lh00000 is searched for the first time. If the function point lh60713 is to be searched, 60713+1 searches are required, that is, the parameters corresponding to 60714 are found through 60713+1. In the present embodiment, only one search method is specifically described, but it is not limited to this.

[0082] In some optional embodiments, referring to Figure 4 , Figure 4 is a structural diagram of a medical imaging test system provided by the present invention. This embodiment provides a specific embodiment of the medical imaging test system, including:

[0083] The data processing module 1 is coupled to the database module 3 respectively, and is used to obtain first data of the function point, and the model includes at least one function point; the medical image construction module 2 is coupled to the data processing module 1 and the database module 3 respectively, and is used to construct a medical image according to the first data and obtain second data of the function point in the medical image;

[0084] A database module 3, coupled to the data processing module 1, the medical image construction module 2, and the search module 5, respectively, for storing the first data and the second data;

[0085] A selection module 4, coupled to the search module 5, for selecting any function point as a test point;

[0086] A search module 5, coupled to the database module 3, the selection module 4, and the comparison module 6, respectively, for acquiring the first data of the test point and the second data of the test point;

[0087] The comparison module 6 is coupled to the search module 5 and is used to compare the first data of the test point with the second data of the test point to test the medical image.

[0088] It can be understood that the first data and the second data of the test point can be quickly found through the search module 5 to analyze the test point; the comparison module 6 can verify whether there is an error between the first data and the second data of the test point to determine the accuracy of the medical image obtained by processing the first data, thereby ensuring the accuracy of the analysis parameters obtained from the medical image.

[0089] In some optional embodiments, continue to refer to Figure 4 The search module 5 also includes an area limiting unit 8, which is used to determine the functional partition to which the test point belongs, determine the cortex to which the test point belongs within the functional partition, and determine the test point as the Qth functional point within the cortex, where Q is a positive integer.

[0090] It can be understood that the area limiting unit 8 in the search module 5 first locates the position of the test point, and then searches for the first data and the second data of the test point accordingly according to the located position, which is more convenient and quick.

[0091] In some optional embodiments, continue to refer to Figure 4 The medical imaging test system further includes a display module 7, which is coupled to the search module 5 and is used to display the second data of the test point in the medical image, and to display the functional partition to which the test point belongs in a first color, to display the cortex to which the test point belongs in a second color, and to display the test point in a third color, wherein the first color, the second color and the third color are different.

[0092] It can be understood that after the test point is selected in the medical image, the test point is highlighted in the third color in the medical image, and the test point is presented in a positive vertical direction of 90°, the functional partition of the test point is displayed in the first color, and the cortex of the test point is displayed in the second color, realizing a three-in-one linkage display, and the second data of the test point is displayed at the same time to complete the one-to-one related parameter verification.

[0093] It can be seen from the above embodiments that the medical imaging testing method provided by the present invention achieves at least the following beneficial effects:

[0094] In the medical image testing method provided by the present invention, the model includes at least one function point, the first data of the function point is obtained and saved; the medical image is constructed according to the first data, the second data of the function point in the medical image is obtained and saved, and in the process of constructing the medical image according to the first data, the version can be changed according to different needs, and the second data of the function point in the medical image obtained after the version change should be the same as the first data corresponding to it. In the medical image, any function point is selected as a test point, the test point is analyzed, the first data of the test point and the second data of the test point are obtained, and the first data of the test point and the second data of the test point are compared to test the medical image. If the first data of the test point and the second data of the test point are the same, the medical image obtained after the version change has high accuracy and no effect on the function. By verifying the first data of the test point and the second data of the test point, the accuracy of the medical image can be quickly judged and the error position can be located, which is more targeted and reduces labor costs.

[0095] Although some specific embodiments of the present invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It will be appreciated by those skilled in the art that the above embodiments may be modified without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A medical image testing method, characterized in that: include: The model includes at least one function point, and first data of the function point is obtained and saved; Construct a medical image according to the first data, and obtain and save second data of the functional point in the medical image; The model includes the 1st functional area to the Nth functional area, N>1 and N is an integer; the Mth functional area includes the 1st cortex to the Kth cortex, 1≤M≤N and M is an integer, K>1 and K is an integer; the Lth cortex includes the 1st functional point to the Pth functional point, 1≤L≤K and L is an integer, P>1 and P is an integer; When saving the first data and the second data, the first functional partition to the Nth functional partition are sequentially arranged as a primary storage directory; in the Mth functional partition, the first cortex to the Kth cortex are sequentially arranged as a secondary storage directory; in the Lth cortex, the first function point to the Pth function point are sequentially arranged as a tertiary storage directory; In the medical image, any one of the functional points is selected as a test point; Acquire the first data of the test point and the second data of the test point; The first data of the test point and the second data of the test point are compared to test the medical image.

2. The medical imaging testing method according to claim 1, characterized in that: The first data is stored via a first path, and the second data is stored via a second path.

3. The medical imaging testing method according to claim 2, characterized in that: In the three-level storage directory, each functional point stores at least one of a cortical thickness parameter, a sulcus depth parameter, a functional partition average thickness parameter, and a functional partition average depth parameter.

4. The medical imaging testing method according to claim 2, characterized in that: The acquiring the second data of the test point includes: Determine that the test point belongs to the Mth functional partition, determine that the test point belongs to the Lth cortex in the Mth functional partition, determine that the test point is the Qth functional point in the Lth cortex, where 1≤Q≤P and Q is an integer; The location of the second data storage is found through the second path, and then according to the first-level storage directory, the search is performed in sequence from the first functional partition to the Nth functional partition to find the Mth functional partition; according to the second-level storage directory, the search is performed in sequence from the first cortex to the Kth cortex in the Mth functional partition to find the Lth cortex; according to the third-level storage directory, the search is performed in sequence from the first function point to the Pth function point in the Lth cortex, and when the Qth function point is found, the second data of the Qth function point is obtained as the second data of the test point.

5. The medical imaging testing method according to claim 4, characterized in that: The acquiring the first data of the test point includes: The location of the first data storage is found through the first path, and then according to the first-level storage directory, the search is performed in sequence from the first functional partition to the Nth functional partition to find the Mth functional partition; according to the second-level storage directory, the search is performed in sequence from the first cortex to the Kth cortex in the Mth functional partition to find the Lth cortex; according to the third-level storage directory, the search is performed in sequence from the first function point to the Pth function point in the Lth cortex, and when the Qth function point is found, the first data of the Qth function point is obtained as the first data of the test point.

6. The medical image testing method according to claim 4, characterized in that: After acquiring the second data of the test point, the method further includes: In the medical image, the second data of the test point is displayed, and the Mth functional partition to which the test point belongs is displayed in a first color, the Lth cortex to which the test point belongs is displayed in a second color, and the test point is displayed in a third color, and the first color, the second color and the third color are different.

7. A medical imaging testing system, characterized in that: include: a data processing module, coupled to the database module and the medical image construction module respectively, for acquiring first data of a function point, wherein the model includes at least one of the function points; The medical image construction module is coupled to the data processing module and the database module respectively, and is used to construct a medical image according to the first data and obtain the second data of the function point in the medical image; The database module is coupled to the data processing module, the medical image construction module, and the search module, respectively, and is used to store the first data and the second data; The model includes the 1st functional area to the Nth functional area, N>1 and N is an integer; the Mth functional area includes the 1st cortex to the Kth cortex, 1≤M≤N and M is an integer, K>1 and K is an integer; the Lth cortex includes the 1st functional point to the Pth functional point, 1≤L≤K and L is an integer, P>1 and P is an integer; When saving the first data and the second data, the first functional partition to the Nth functional partition are sequentially arranged as a primary storage directory; in the Mth functional partition, the first cortex to the Kth cortex are sequentially arranged as a secondary storage directory; in the Lth cortex, the first function point to the Pth function point are sequentially arranged as a tertiary storage directory; A selection module, coupled to the search module, for selecting any one of the function points as a test point; The search module is coupled to the database module, the selection module, and the comparison module, respectively, and is used to obtain the first data of the test point and the second data of the test point; The comparison module is coupled to the search module, and is used to compare the first data of the test point with the second data of the test point to test the medical image.

8. The medical imaging test system according to claim 7, characterized in that: The search module also includes an area limiting unit, which is used to determine the functional partition to which the test point belongs, determine the cortex to which the test point belongs within the functional partition, and determine that the test point is the Qth functional point within the cortex, where Q is a positive integer.

9. The medical imaging testing system according to claim 8, characterized in that: It also includes a display module, which is coupled to the search module and is used to display the second data of the test point in the medical image, and display the functional partition to which the test point belongs in a first color, display the cortex to which the test point belongs in a second color, and display the test point in a third color, and the first color, the second color and the third color are different.

Images