Implant body postoperative verification method, device and terminal

文档序号:1511898 发布日期:2020-02-11 浏览:24次 中文

阅读说明:本技术 一种植入体的术后验证方法、装置和终端 (Implant body postoperative verification method, device and terminal ) 是由 高家朗 王德峰 骆嘉希 黄麟 于 2018-07-30 设计创作,主要内容包括:本发明实施例涉及医疗器械,公开了一种植入体的术后验证方法、装置和终端。本发明中植入体的术后验证方法,获取包含植入体的术后图像数据,识别术后图像数据中每一个植入体;计算每一个植入体的待验证特征,其中,待验证特征包括植入体质量中心在当前图像数据中的位置以及植入体在当前图像数据中的主成分方向;分别将计算得到的每一个植入体的待验证特征与术前预设的每一个植入体的待验证特征进行匹配,获得匹配结果;根据该匹配结果,确定每一个植入体的术后验证结果。本发明提供植入体的术后验证方法、装置和终端,使得可以快速对外科植入体手术进行验证并获得准确的验证结果。(The embodiment of the invention relates to medical equipment, and discloses a method, a device and a terminal for verifying an implant after an operation. The post-operation verification method of the implant comprises the steps of obtaining post-operation image data containing the implant, and identifying each implant in the post-operation image data; calculating the to-be-verified characteristics of each implant, wherein the to-be-verified characteristics comprise the position of the implant mass center in the current image data and the principal component direction of the implant in the current image data; respectively matching the calculated to-be-verified feature of each implant with the to-be-verified feature of each implant preset before the operation to obtain a matching result; and determining the postoperative verification result of each implant according to the matching result. The invention provides a method, a device and a terminal for verifying an implant after an operation, which can quickly verify the operation of a surgical implant and obtain an accurate verification result.)

1. A method of post-operative verification of an implant, comprising:

acquiring postoperative image data including implants, and identifying each implant in the postoperative image data;

calculating the to-be-verified characteristics of each implant, wherein the to-be-verified characteristics comprise the position of the implant mass center in the current image data and the principal component direction of the implant in the current image data;

respectively matching the calculated to-be-verified feature of each implant with the to-be-verified feature of each implant preset before the operation to obtain a matching result;

and determining the postoperative verification result of each implant according to the matching result.

2. The method of claim 1, wherein the obtaining post-operative image data including implants and identifying each implant in the post-operative image data comprises:

setting a region of interest in the post-operative image data, the region of interest being a region of the implant in the post-operative image data;

determining each voxel in the region of interest belonging to the implant according to the gray value of each voxel in the region of interest and a preset threshold;

identifying each implant in the region of interest based on each of the determined voxels belonging to the implant.

3. A method of post-operative verification of an implant according to claim 2, wherein said identifying each implant in said region of interest based on said determining each voxel belonging to said implant further comprises:

and converting each determined voxel belonging to the implant into visualization data.

4. A method of post-operative verification of implants according to claim 2 or 3, wherein, after identifying each implant in the region of interest according to said determined each voxel belonging to the implant, further comprises:

denoising each of the identified implants within the region of interest by a filter.

5. The post-operative verification method of an implant according to claim 2, wherein the post-operative verification method further comprises obtaining pre-operative image data before setting a region of interest in the post-operative image data;

setting a region of interest in the post-operative image data, specifically comprising:

and setting the region of interest according to the difference value of the postoperative image data and the preoperative image data.

6. The method for post-operative verification of implants according to any of claims 1, 2, 3 or 5, wherein said calculating the feature to be verified of each implant comprises:

calculating a location of a center of mass of each implant in the post-operative image data according to the identified voxel and center of mass formula for each implant;

calculating a principal component direction of each implant in the post-operative image according to the identified voxel of each implant and a principal component axis algorithm.

7. A device for post-operative verification of an implant, comprising: the device comprises an implant identification module, a to-be-verified feature calculation module, a matching module and a verification result determination module;

the implant identification module is used for acquiring postoperative image data containing implants and identifying each implant in the postoperative image data;

the to-be-verified feature calculation module is used for calculating to-be-verified features of each implant, wherein the to-be-verified features comprise the position of an implant mass center in current image data and the principal component direction of the implant in the current image data;

the matching module is used for respectively matching the calculated to-be-verified feature of each implant with the to-be-verified feature of each implant preset before the operation to obtain a matching result;

the verification result determining module is used for determining the postoperative verification result of each implant according to the matching result.

8. The post-operative implant verification device of claim 7, wherein the implant identification module comprises a region of interest setting sub-module, a voxel determination sub-module of the implant, and an identification sub-module;

the region-of-interest setting sub-module is used for setting a region of interest in the post-operation image data, wherein the region of interest is the region of the implant in the post-operation image data;

the voxel determining submodule of the implant is used for determining each voxel in the region of interest belonging to the implant according to the gray value of each voxel in the region of interest and a preset threshold;

the identification submodule is configured to identify each implant in the region of interest based on each of the determined voxels belonging to the implant.

9. A terminal, comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of post-operative verification of an implant according to any one of claims 1 to 6.

10. A computer-readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, implements a method for post-operative verification of an implant according to any of claims 1 to 6.

Technical Field

The embodiment of the invention relates to medical equipment, in particular to a method, a device and a terminal for verifying an implant after an operation.

Background

Surgical implants are instruments that are retained in the intended operative position by a surgically invasive procedure. The target operation position may be a human joint, an ocular surface, an oral cavity, or the like. Surgical implants such as: bone nails, elbow joint prostheses, dentures, dental implants, and the like.

The surgical implant is retained at the target operation position for at least 30 days, so that the position of the plant is usually checked and verified after the operation of implanting the surgical implant, and whether the implantation operation is successful or not is determined by determining the accuracy of the position of the implant after the operation. The inventor finds that at least the following problems exist in the prior art: currently, the verification of the surgical implant after operation can only be completed by the doctor himself identifying the electronic Computed Tomography (CT) images of the surgical implant one by one. This verification method is very cumbersome and time consuming and, at the same time, has a low accuracy due to the need for the physician to identify the CT image of the surgical implant himself.

Disclosure of Invention

An object of embodiments of the present invention is to provide a method, an apparatus, and a terminal for post-operation verification of an implant, which enable a surgical implant operation to be quickly verified and an accurate verification result to be obtained.

In order to solve the above technical problem, an embodiment of the present invention provides a method for verifying an implant after surgery, including: acquiring postoperative image data including implants, and identifying each implant in the postoperative image data; calculating the to-be-verified characteristics of each implant, wherein the to-be-verified characteristics comprise the position of the implant mass center in the current image data and the principal component direction of the implant in the current image data; respectively matching the calculated to-be-verified feature of each implant with the to-be-verified feature of each implant preset before the operation to obtain a matching result; and determining the postoperative verification result of each implant according to the matching result.

Embodiments of the present invention also provide a post-operative verification device for an implant, comprising: the device comprises an implant identification module, a to-be-verified feature calculation module, a matching module and a verification result determination module; the implant identification module is used for acquiring postoperative image data containing implants and identifying each implant in the postoperative image data; the to-be-verified feature calculation module is used for calculating to-be-verified features of each implant, wherein the to-be-verified features comprise the position of the implant mass center in the current image data and the principal component direction of the implant in the current image data; the matching module is used for respectively matching the calculated to-be-verified feature of each implant with the to-be-verified feature of each implant preset before the operation to obtain a matching result; and the verification result determining module is used for determining the postoperative verification result of each implant according to the matching result.

An embodiment of the present invention further provides a terminal, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to perform the method for post-operative verification of an implant as described above.

Embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which when executed by a processor, implements the method for post-operative verification of an implant as described above.

Compared with the prior art, the method and the device have the advantages that the post-operation image data containing the implant is obtained, each implant in the post-operation image data is identified, the to-be-verified feature of each implant can be calculated, the calculated to-be-verified feature of each implant is matched with the pre-operation preset to-be-verified feature of each implant, the post-operation verification result of each implant is determined according to the matching result, and the post-operation verification speed of the implant is greatly increased as the implants in the post-operation image data are not required to be manually identified one by one in the whole verification process, and the space position of each implant in the post-operation image data is not required to be manually matched with the pre-operation preset space position of each implant in the whole verification process. Meanwhile, the characteristics to be verified are the position of the mass center of the implant in the postoperative image data and the principal component direction of the implant in the postoperative image data, so that the accuracy of the implant in postoperative verification is ensured, and the condition of inaccurate verification caused by human difference and human negligence is avoided because manual matching is not needed.

In addition, acquiring postoperative image data including the implant, identifying each implant in the postoperative image data, specifically including: setting a region of interest in the post-operative image data, wherein the region of interest is a region of the implant in the post-operative image data; determining each voxel of the region of interest belonging to the implant according to the gray value of each voxel in the region of interest and a preset threshold; each implant in the region of interest is identified based on each determined voxel belonging to the implant. The area for identifying the postoperative image data is reduced by setting the region of interest, so that the speed for identifying each implant in the postoperative image data is increased, and meanwhile, each voxel belonging to the implant in the region of interest is determined by the gray value of each voxel in the region of interest and the preset threshold value, so that the step for identifying the implant is simplified, and the processing speed is high.

In addition, after identifying each implant in the region of interest based on each determined voxel belonging to an implant, the method further comprises: each determined voxel belonging to the implant is converted into visualization data. The visualization data facilitates the user in viewing each implant determined.

In addition, after identifying each implant in the region of interest based on each determined voxel belonging to an implant, the method further comprises: and denoising each identified implant in the region of interest through a filter. After denoising processing, each identified implant is more accurate.

In addition, before setting the region of interest in the postoperative image data, the postoperative verification method further comprises the steps of obtaining preoperative image data; setting a region of interest in postoperative image data, specifically comprising: and setting an interested area according to the difference value of the postoperative image data and the preoperative image data. And manual setting is not needed, so that the postoperative verification speed of the implant is accelerated.

In addition, calculating the to-be-verified characteristic of each implant specifically includes: calculating the position of the center of mass of each implant in the post-operative image data according to the identified voxel and center of mass formula of each implant; and calculating the principal component direction of each implant in the postoperative image according to the identified voxel of each implant and the principal component axis algorithm. Because the implant bodies are made of the same material and are uniformly distributed in weight, the position of the mass center of each implant body in the postoperative image data is calculated by adopting a mass center formula, and the principal component direction of each implant body in the postoperative image is calculated by adopting a principal component axis algorithm, so that the calculation speed can be improved.

Drawings

One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.

FIG. 1 is a schematic flow chart illustrating a method for post-operative verification of an implant according to a first embodiment of the present invention;

FIG. 2 is a detailed flow chart illustrating the identification of each implant in the post-operative image data according to the first embodiment of the present invention;

FIG. 3 is a schematic view of a detailed process for identifying each implant in post-operative image data in a post-operative verification method for implants according to a second embodiment of the present invention;

FIG. 4 is a schematic structural diagram illustrating a post-operative verification device for an implant according to a third embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an implant identification module according to a fourth embodiment of the present invention;

fig. 6 is a schematic structural diagram of a terminal according to a fifth embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.

A first embodiment of the invention relates to a method for post-operative verification of an implant. The method is used for verifying whether the implant is accurately implanted to a pre-operation preset position. The implant can be a dental implant, a bone nail, an elbow joint prosthesis and the like. The specific flow is shown in fig. 1.

Step 101: post-operative image data comprising the implants is acquired, and each implant in the post-operative image data is identified.

Specifically, the post-operation electronic Computed Tomography (CT) image data of the implanted part is obtained, because the CT image is initially a two-dimensional image, the two-dimensional image data needs to be converted into three-dimensional image data, and the data conversion can be performed by using related tools, such as: the function mapping software and the specific conversion process will not be described in detail here. The three-dimensional image data obtained through conversion is postoperative image data containing the implant. The image data in the present embodiment is CT image data, which is only an example, and the type of the post-operation image data is not limited in practice.

In one specific implementation, acquiring post-operative image data including implants, and identifying each implant in the post-operative image data, specifically includes the following sub-steps, as shown in fig. 2:

substep 1011: a region of interest is set in the post-operative image data, the region of interest being a region of the implant in the post-operative image data.

There are various ways to set the region of interest in the post-operation image data, and two setting methods will be exemplified in this embodiment.

The method comprises the following steps: before setting the region of interest in the post-operative image data, the post-operative verification method further comprises acquiring pre-operative image data. Specifically, the preoperative image data of the implanted person should be the same as the postoperative image data in type, that is, CT image data before the operation and CT image data after the operation; and the pre-operative image data and the post-operative image data should be the same corresponding to the location of the implant's shot.

And setting an interested area according to the difference value of the postoperative image data and the preoperative image data. Specifically, since the difference between the post-operative image data and the pre-operative image data is only that the post-operative image data includes the implant, the difference obtained by subtracting the post-operative image data and the pre-operative image data is the region of interest. Of course, the image data here is data that is not visualized.

The second method comprises the following steps: and converting the non-visualized postoperative image data into visualized postoperative image data, and manually setting an interested region in the postoperative image data through the visualized postoperative image data. Of course, to facilitate faster identification of the implant in subsequent steps, the post-visualization image data may be converted into non-visualization image data after the region of interest is set.

In practical applications, the method for setting the region of interest may be selected according to actual needs.

Substep 1012: and determining each voxel in the region of interest belonging to the implant according to the gray value of each voxel in the region of interest and a preset threshold value.

Specifically, the gray value of each voxel in the region of interest is compared with a preset threshold, whether the gray value of each voxel exceeds the preset threshold is judged, and if the gray value of the voxel exceeds the preset threshold, the voxel is determined to belong to a voxel of an implant; and if the gray value of the voxel does not exceed the preset threshold, determining that the voxel does not belong to the voxel of the implant. In this embodiment, 16 bits or 32 bits can be used as the gradation value. The preset threshold may be pre-calculated according to the material of the implant, for example, if the implant is a metal dental prosthesis, the preset threshold may be determined according to the gray scale values of the metal dental prosthesis in N three-dimensional image data, where N is an integer greater than 1, and the threshold may be an average of the gray scale values in the N three-dimensional images. Of course, the value range of the preset threshold is not limited in this embodiment, and may be obtained through multiple tests according to actual needs, for example, a 16-bit gray scale value is adopted in this embodiment, and the preset threshold is determined to be 800 after multiple tests.

Substep 1013: each implant in the region of interest is identified based on each determined voxel belonging to the implant.

In particular, since each voxel belonging to the implant is determined, the coordinates of each voxel belonging to the implant in the post-operative image data can be obtained. An implant in the post-operative image data is composed of an adjacent voxel, and each implant in the region of interest can be rapidly identified according to the characteristic and the corresponding coordinate of each identified voxel. Of course, each implant in the region of interest can also be quickly identified according to an algorithm for identifying the shape of the object, which will not be enumerated in this embodiment.

It should be noted that, after the execution of sub-step 1013 is completed, step 102 is executed.

Step 102: and calculating the to-be-verified characteristics of each implant, wherein the to-be-verified characteristics comprise the position of the implant mass center in the current image data and the main component direction of the implant in the current image data.

In one particular implementation, the location of the center of mass of each implant in the post-operative image data is calculated based on the identified voxel and center of mass formula for each implant; and calculating the principal component direction of each implant in the postoperative image according to the identified voxel of each implant and the principal component axis algorithm.

Specifically, the same implant is made of the same material and has uniform mass, and in order to improve the calculation of the mass center position of each implant, a mass center formula can be adopted for calculation. The specific formula is as follows:

Figure BDA0001748013750000051

Figure BDA0001748013750000052

in three-dimensional space, the coordinates of the center of mass can be obtained as:

where, as can be seen from equations 1-2, M is the total mass of an implant, M is the mass of a voxel, and N indicates that an implant is composed of N voxels in the current image data. And x i、y iAnd z iA three-dimensional coordinate value of each voxel is represented. Note that, in the post-operation image data, the three-dimensional coordinates of each voxel are obtained by reading.

In calculating the principal Component direction of the implant, a dimension reduction method, such as Principal Component Axis (PCA) algorithm, is used in the present embodiment in consideration of the rapidity and accuracy of the calculation. Since the determined three-dimensional coordinate value of each voxel of each implant can be obtained, the principal component direction of each implant can be calculated according to the PCA algorithm, wherein the detailed algorithm of the PCA will not be described again in this embodiment.

Step 103: and respectively matching the calculated to-be-verified feature of each implant with the to-be-verified feature of each implant preset before the operation to obtain a matching result.

Specifically, a detailed preoperative planning of the implants is usually required before the implants are implanted in the patient, i.e., the position of the center of mass of each implant in the current image data and the principal component direction of each implant in the current image data are predetermined by the preoperative image data.

The matching process is to respectively judge whether the position of the mass center of each implant in the current image data after the operation is matched with the position of each implant in the current image data preset before the operation, and judge whether the principal component direction of each implant in the current image data after the operation is matched with the principal component direction of each implant in the current image data preset before the operation; and acquiring a position matching result and a principal component direction matching result of the center of mass of each implant in the current image data as a matching result of each implant. The matching process will be described below as a specific example.

For example, assuming that the post-operative image data includes 1 implant, the center of mass of implant A is located at O in the post-operative image data A(x1, y1, z1) and the principal component direction is U1. Preoperative preset implant a 1Has a center of mass of O in the current image data A1(x3, y3, z3) and the principal component direction is U3. Respectively comparing the characteristics to be detected of the implant A with the preoperative implant A 1Is matched if O A(x1, y1, z1) and O A1(x3, y3, z3) is within 0.1mm only, the position of the center of mass of the implant a is determined to be completely matched with the position of the preoperatively preset center of mass, otherwise, the position is not matched; the difference between the U1 and U3 directions is within 0.1, the main component direction of the implant A and the preoperative preset implant A are judged 1The principal component directions of (a) are completely matched; the matching result of the implant a includes the matching result of the center of mass position and the matching result of the direction.

Step 104: and determining the postoperative verification result of each implant according to the matching result.

Specifically, the matching result of each implant includes the matching result of the center of mass of the current implant and the matching result of the principal component direction, and the implantation position of the current implant can be determined to be accurate as long as the two matching results are matched; and if only one matching result is matching, judging that the implantation position of the current implant is inaccurate. Of course, in addition to the verification result, the matching result of the center of mass of the current implant and the matching result of the principal component direction may be displayed, and the position of the center of mass of the current implant in the current image data and the principal component direction of the implant may be displayed, so that a doctor or the like can know the accurate spatial position of the implant.

Compared with the prior art, the method and the device have the advantages that the post-operation image data containing the implant is obtained, each implant in the post-operation image data is identified, the to-be-verified feature of each implant can be calculated, the calculated to-be-verified feature of each implant is matched with the pre-operation preset to-be-verified feature of each implant, the post-operation verification result of each implant is determined according to the matching result, and the post-operation verification speed of the implant is greatly increased as the implants in the post-operation image data are not required to be manually identified one by one in the whole verification process, and the space position of each implant in the post-operation image data is not required to be manually matched with the pre-operation preset space position of each implant in the whole verification process. Meanwhile, the characteristics to be verified are the position of the mass center of the implant in the postoperative image data and the principal component direction of the implant in the postoperative image data, so that the accuracy of the implant in postoperative verification is ensured, and the condition of inaccurate verification caused by human difference and human negligence is avoided because manual matching is not needed.

A second embodiment of the invention is directed to a method of post-operative verification of an implant. The second embodiment is a further improvement of the first embodiment, and the main improvement lies in that: in the second embodiment of the present invention, after identifying each implant in the region of interest based on each determined voxel belonging to an implant, the method further comprises: each determined voxel belonging to the implant is converted into visualization data.

The specific flow of acquiring the post-operative image data including the implant and identifying each implant in the post-operative image data in the present embodiment is shown in fig. 3.

Step 3011: a region of interest is set in the post-operative image data, the region of interest being a region of the implant in the post-operative image data.

Step 3012: and determining each voxel in the region of interest belonging to the implant according to the gray value of each voxel in the region of interest and a preset threshold value.

Step 3013: each implant in the region of interest is identified based on each determined voxel belonging to the implant.

Step 3014: each determined voxel belonging to the implant is converted into visualization data.

In particular, in order to facilitate the human observation of each implant determined, each voxel determined to belong to the implant is converted into visualization data. The conversion method may use a Marching Cube (Marching Cube) algorithm.

Step 3015: and denoising each identified implant in the region of interest through a filter.

Specifically, after passing through step 3012 and step 3013, noise such as artifacts may still exist in each of the identified implants. Noise such as artifacts in each of the identified implants can be quickly removed by a filter, which may be an on-operation filter, while each of the implants can be isolated.

It should be noted that the sequence of step 3014 and step 3015 can be interchanged without affecting the effect. Steps 3011 to 3013 are substantially the same as sub-steps 1011 to 1013 in the first embodiment, and steps 3011 to 3013 will not be described again in this embodiment.

In the post-operation verification method for the implant provided by the embodiment, in the process of acquiring post-operation image data including the implant and identifying each implant in the post-operation image data, each determined voxel belonging to the implant is converted into visual data, so that the implant in the post-operation image data can be observed by human eyes conveniently. And denoising each identified implant in the region of interest, so that the accuracy of each identified implant is further ensured, and the accuracy of verification of each implant is improved.

The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.

The third embodiment of the present invention relates to a post-operation verification apparatus 40 for an implant, the post-operation verification apparatus 40 for an implant comprising: an implant identification module 401, a feature to be verified calculation module 402, a matching module 403 and a verification result determination module 404. The specific structure of the post-operation verification device of the implant is shown in figure 4.

The implant identification module 401 is configured to obtain post-operative image data including implants, and identify each implant in the post-operative image data; the to-be-verified feature calculation module 402 is configured to calculate to-be-verified features of each implant, where the to-be-verified features include a position of an implant mass center in the current image data and a principal component direction of the implant in the current image data; the matching module 403 is configured to match the calculated feature to be verified of each implant with the feature to be verified of each implant preset before the operation, respectively, so as to obtain a matching result; the verification result determining module 404 is configured to determine a post-operation verification result for each implant according to the matching result.

Compared with the prior art, the implementation mode has the advantages that the implants in the postoperative image data do not need to be manually identified one by one in the whole verification process, and the spatial position of each implant in the postoperative image data does not need to be manually matched with the spatial position of each preset implant before the operation, so that the postoperative verification speed of the implants is greatly accelerated. Meanwhile, the characteristics to be verified are the position of the mass center of the implant in the postoperative image data and the principal component direction of the implant in the postoperative image data, so that the accuracy of the implant in postoperative verification is ensured, and the condition of inaccurate verification caused by human difference and human negligence is avoided because manual matching is not needed.

It should be understood that this embodiment is an example of the apparatus corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.

It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.

A fourth embodiment of the present invention is directed to a post-operative verification device for an implant. The fourth embodiment is a further improvement of the third embodiment, and the main improvements are as follows: in the fourth embodiment of the present invention, the implant recognition module 401 includes a region of interest setting sub-module 4011, an implant voxel determination sub-module 4012 and a recognition sub-module 4013. The specific structure of the implant recognition module 401 is shown in fig. 5.

The region of interest setting sub-module 4011 is configured to set a region of interest in the post-operation image data, where the implant is located in the post-operation image data. The implant voxel determination submodule 4012 is configured to determine each voxel in the region of interest belonging to the implant according to the gray-scale value of each voxel in the region of interest and a preset threshold; the identifying sub-module 4013 is configured to identify each implant in the region of interest based on each determined voxel belonging to an implant.

In the post-operation verification device for the implant, the region-of-interest setting submodule sets the region-of-interest, so that the region for identifying the post-operation image data is reduced, and the speed for identifying each implant in the post-operation image data is increased. The voxel determining submodule of the implant body determines each voxel belonging to the implant body in the region of interest through the gray value of each voxel in the region of interest and a preset threshold, and the determining step is simple and the processing speed is high.

Since the second embodiment corresponds to the present embodiment, the present embodiment can be implemented in cooperation with the second embodiment. The related technical details mentioned in the second embodiment are still valid in this embodiment, and the technical effects that can be achieved in the second embodiment can also be achieved in this embodiment, and are not described herein again in order to reduce the repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the second embodiment.

A fifth embodiment of the invention relates to a terminal 50 comprising at least one processor 501; and a memory 502 communicatively coupled to the at least one processor 501; the memory 502 stores instructions executable by the at least one processor 501, and the instructions are executable by the at least one processor 501 to enable the at least one processor 501 to perform the above-mentioned post-operative implant verification method. The specific structure is shown in fig. 6.

The memory 502 and the processor 501 are connected by a bus, which may include any number of interconnected buses and bridges that link one or more of the various circuits of the processor 501 and the memory 502 together. The bus may also link various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 501 is transmitted over a wireless medium through an antenna, which further receives the data and transmits the data to the processor 501.

The processor 501 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 502 may be used to store data used by the processor in performing operations.

Those skilled in the art can understand that all or part of the steps in the method of the foregoing embodiments may be implemented by a program to instruct related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, etc.) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.

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