Tibia model positioning method and apparatus

By determining the longest axis of the tibia based on human anatomical features and using the positional relationship between the inner 1/3 and inner 1/2 of the tibial tuberosity to locate the coronal and sagittal planes, the problem of inaccurate tibial model positioning was solved, enabling precise surgical planning for patients with damaged tibias.

CN116211460BActive Publication Date: 2026-01-02TSINGHUA UNIVERSITY
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Patent Information

Application Number
CN202310202272.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-02
Publication Date
2026-01-02
Estimated Expiration
2043-03-02

AI Technical Summary

Technical Problem

In existing technologies, there is a significant difference between the coronal plane direction of the tibial model and the long axis direction of the tibial plateau, which makes it impossible for computers to extract automatically. This is especially true for patients with damaged tibias, making it difficult to meet clinical needs and reducing the accuracy and applicability of tibial localization.

Method used

By determining the longest axis of the tibia based on human anatomical features, and locating the coronal and sagittal planes of the tibia according to the distance and angle relationship between the inner 1/3 and inner 1/2 positions of the tibial tuberosity, the automatic positioning of the tibial model is achieved.

Benefits of technology

It improves the accuracy and applicability of tibial localization, meeting clinical needs, especially for precise surgical planning in patients with damaged tibias.

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Abstract

The application relates to the medical technical field, in particular to a tibia model positioning method and device, wherein the method comprises the following steps: determining a tibia longest axis position in a target cross section based on the anatomical features of a human body; positioning an outermost point of a tibial tuberosity farthest from a mechanical axis based on the tibia longest axis position; and positioning a tibial coronal plane and a tibial sagittal plane of a tibia model based on the outermost point of the tibial tuberosity according to the distance and angle relationship between points at 1 / 3 and 1 / 2 positions of the tibial tuberosity on the target cross section. Thus, the problems that the coronal plane direction obtained in the related art is greatly different from the tibia platform long axis direction, the computer cannot automatically extract, especially for patients with damaged tibia, the clinical requirements cannot be met, and the tibia positioning accuracy and applicability are reduced are solved.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical treatment, in particular to a tibia model positioning method and device. BACKGROUND

[0002] In the related art, the tibial tubercle range can be extracted on the transverse plane projection 10mm away from the tibial plateau surface by direct positioning method, and the model sagittal plane can be obtained by aligning the middle 1 / 3 point of the range with the mechanical axis, and the coronal plane is perpendicular to the projection plane and the sagittal plane.

[0003] However, the coronal plane direction obtained in the related art has a large difference with the long axis direction of the tibial plateau, which causes the computer to be unable to automatically extract, especially for patients with damaged tibia, it is difficult to meet the clinical needs, and the accuracy and applicability of tibia positioning are reduced, which needs to be solved urgently. SUMMARY

[0004] The present application is based on the following problems and realizations of the inventors:

[0005] The knee joint is one of the largest and most complex joints in the human body, mainly composed of the lower end of the femur, the upper end of the tibia, the patella and the surrounding soft tissues, etc. As the pivot of lower limb movement, the knee joint bears most of the weight of the human body and supports the human body to realize a wide range of activities. It is also one of the joints that are most easily damaged. For severely damaged knee joints, the common treatment method is total knee arthroplasty. In the surgery, the damaged joint surface of the knee joint is measured and resected, and a specific knee joint artificial prosthesis component is implanted to reconstruct the force line of the lower limb and restore the normal physiological function of the knee joint.

[0006] In the process of knee joint reconstruction, the reconstruction of the lower limb force line is an important factor affecting the surgical effect. Generally, if the deviation of the lower limb force line from the median lower limb mechanical axis is less than 3 degrees, the postoperative recovery effect is generally good, otherwise it will cause the lower limb load to deviate, thereby exacerbating the prosthesis wear and affecting the normal walking of the patient.

[0007] Generally, in order to obtain accurate knee resection length estimation and prosthesis model selection before surgery, most hospitals use film template measurement method for preoperative planning, which is based on two-dimensional X-ray image of the patient, and realizes accurate selection by manually marking the force line and then superimposing the prosthesis film. However, the two-dimensional image can only provide the posture image of the human body in the projection position, and it is difficult to represent the joint position in three-dimensional space. Therefore, after using this method for surgical planning, multiple trial modeling and selection operations are still required during the operation, which has large error and low repeatability. Related literature shows that even if the operation is performed by an experienced physician, the coronal alignment error is close to 10%. With the development and popularity of computer imaging and radiology, model reconstruction technology based on three-dimensional CT images provides a new choice for joint replacement surgery planning. First, a three-dimensional model of the joint is reconstructed from the CT image, then the anatomical surface of the bone and the relative position of the joint are determined according to the physiological characteristics, and finally virtual osteotomy and prosthesis selection are performed to achieve the purpose of preoperative planning. Studies have shown that in total hip arthroplasty, compared with the traditional film template measurement method, the accuracy of prosthesis model prediction using three-dimensional model for preoperative planning is improved by nearly 30%.

[0008] In the preoperative planning of total knee arthroplasty, the positioning of the tibial model anatomical surface is a relatively difficult problem, especially for patients with damaged knees, whose damaged tibia will lose common anatomical features, resulting in inaccurate positioning and affecting the accuracy of lower limb alignment during surgery. Generally, after obtaining the three-dimensional model of the tibia, its coronal plane, sagittal plane and transverse plane need to be determined. The coronal plane of the human body is defined as a plane that passes through the gravitational line of the human body and divides the human body into two equal parts, the sagittal plane is defined as a plane that passes through the gravitational line of the human body and divides the human body into two equal parts, and the transverse plane is perpendicular to the coronal plane and the sagittal plane. For the tibia, the mechanical axis perpendicular to the tibia and femur needs to be identified first. Since the mechanical axis of the tibia is parallel to its long axis, it is relatively easy to identify. However, after obtaining the mechanical axis, it is a difficult problem to obtain the coronal plane and the sagittal plane.

[0009] The present application provides a tibial model positioning method and device to solve the problem that the coronal plane direction obtained in the related art has a large difference with the long axis direction of the tibial platform, which leads to the inability of the computer to automatically extract, especially for patients with damaged tibia, which is difficult to meet the clinical needs, and reduces the accuracy and applicability of tibial positioning.

[0010] The first aspect of the present application provides a tibia model positioning method, comprising the following steps: determining a longest axis of a tibia in a target cross section based on anatomical features of a human body; positioning an outermost point of a tibial tuberosity farthest from a mechanical axis based on the longest axis of the tibia; and positioning a coronal plane and a sagittal plane of a tibia model based on the outermost point of the tibial tuberosity according to a distance and an angle relationship between points at 1 / 3 and 1 / 2 positions of the tibial tuberosity on the target cross section.

[0011] Optionally, in an embodiment of the present application, an angle between the 1 / 3 position of the tibial tuberosity and the outermost point of the tibial tuberosity satisfies a preset condition.

[0012] Optionally, in an embodiment of the present application, the preset condition comprises:

[0013] θ = 4arcsin(L / R),

[0014] wherein θ is an angle between the 1 / 3 position of the tibial tuberosity and the outermost point, L is a horizontal distance of the 1 / 3 position of the tibial tuberosity, and R is a distance from the outermost point of the tibial tuberosity to the mechanical axis.

[0015] Optionally, in an embodiment of the present application, a line connecting the 1 / 3 position of the tibial tuberosity and the mechanical axis is a model sagittal plane, and a plane perpendicular to each other is a model coronal plane.

[0016] The second aspect of the present application provides a tibia model positioning device, comprising:

[0017] a determining module configured to determine a longest axis of a tibia in a target cross section based on anatomical features of a human body; a first positioning module configured to position an outermost point of a tibial tuberosity farthest from a mechanical axis based on the longest axis of the tibia; and a second positioning module configured to position a coronal plane and a sagittal plane of a tibia model based on the outermost point of the tibial tuberosity according to a distance and an angle relationship between points at 1 / 3 and 1 / 2 positions of the tibial tuberosity on the target cross section.

[0018] Optionally, in an embodiment of the present application, an angle between the 1 / 3 position of the tibial tuberosity and the outermost point of the tibial tuberosity satisfies a preset condition.

[0019] Optionally, in an embodiment of the present application, the preset condition comprises:

[0020] θ = 4arcsin(L / R),

[0021] wherein θ is an angle between the 1 / 3 position of the tibial tuberosity and the outermost point, L is a horizontal distance of the 1 / 3 position of the tibial tuberosity, and R is a distance from the outermost point of the tibial tuberosity to the mechanical axis.

[0022] Optionally, in one embodiment of the present application, the line connecting the inner 1 / 3 position of the tibial tuberosity and the mechanical axis is the model sagittal plane, and the mutually perpendicular plane is the model coronal plane.

[0023] The third aspect embodiment of the present application provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the tibia model positioning method as described in the above embodiments.

[0024] The fourth aspect embodiment of the present application provides a computer readable storage medium, which stores a computer program executable by a processor to implement the tibia model positioning method as described above.

[0025] The embodiments of the present application can determine the longest axis of the tibia in the target cross section based on the anatomical features of the human body, locate the outermost point of the tibial tuberosity farthest from the mechanical axis according to the longest axis of the tibia, and determine the coronal plane and the sagittal plane of the tibia model based on the outermost point of the tibial tuberosity according to the distance and angle relationship between the points at the inner 1 / 3 position and the inner 1 / 2 position of the tibial tuberosity on the target cross section, so that the computer can realize automatic positioning of the model, thereby improving the accuracy and applicability of tibia positioning. Thus, the problem that the coronal plane direction obtained in the related art has a large difference with the direction of the long axis of the tibial plateau, which causes the computer to be unable to automatically extract, especially for patients with damaged tibia, and the clinical requirements are difficult to meet, and the accuracy and applicability of tibia positioning are reduced, is solved.

[0026] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0027] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, including the accompanying drawings.

[0028] Figure 1 A flowchart of a tibia model positioning method according to an embodiment of the present application is provided.

[0029] Figure 2 A tibia shape and coordinate system diagram for one specific embodiment of the present application is provided.

[0030] Figure 3 A tibia longest axis positioning result diagram for one specific embodiment of the present application is provided.

[0031] Figure 4 A mathematical model method cross-sectional relationship diagram for one specific embodiment of the present application is provided.

[0032] Figure 5 A structural schematic diagram of a tibial model positioning device provided by an embodiment of the present application is shown in the figure.

[0033] Figure 6 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0034] Embodiments of the present application are described in detail below with reference to the accompanying drawings, in which the same or similar notations used throughout the drawings denote the same or similar elements or elements having the same or similar functions. The embodiments described below by reference to the accompanying drawings are exemplary and are intended to explain the present application, and cannot be understood as limiting the present application.

[0035] A tibial model positioning method and device of an embodiment of the present application are described below with reference to the accompanying drawings. In view of the fact that the coronal plane direction obtained in the related art has a large difference with the long axis direction of the tibial plateau, which leads to the fact that the computer cannot automatically extract, especially for patients with damaged tibia, it is difficult to meet the clinical needs, and the accuracy and applicability of tibial positioning are reduced, the present application provides a tibial model positioning method, in which the longest axis of the tibia in the target cross section can be determined based on the anatomical features of the human body, and the outermost point of the tibial tuberosity farthest from the mechanical axis is positioned according to the longest axis of the tibia, and the tibial coronal plane and the sagittal plane of the tibial model are positioned based on the outermost point of the tibial tuberosity, so that the computer can realize automatic positioning of the model, and the accuracy and applicability of tibial positioning are improved. Thus, the problems of the related art, such as the fact that the coronal plane direction obtained has a large difference with the long axis direction of the tibial plateau, which leads to the fact that the computer cannot automatically extract, especially for patients with damaged tibia, it is difficult to meet the clinical needs, and the accuracy and applicability of tibial positioning are reduced, are solved.

[0036] Specifically, Figure 1 A flowchart of a tibial model positioning method provided by an embodiment of the present application is shown in the figure.

[0037] As Figure 1 shown, the tibial model positioning method includes the following steps:

[0038] In step S101, the longest axis of the tibia in the target cross section is determined based on the anatomical features of the human body.

[0039] It can be understood that the present application can determine the outermost point of the tibial tuberosity in the longest axis of the tibia in the target cross section based on the anatomical features of the human body, which effectively improves the executability of tibial model positioning.

[0040] In step S102, the outermost end of the tibial tuberosity is located at the point furthest from the mechanical axis at the longest axis of the tibia.

[0041] It is understood that the embodiments of this application can locate the outermost point of the tibial tuberosity, which is farthest from the mechanical axis, based on the longest axis of the tibia. In other words, the embodiments of this application can determine, based on mathematical statistical results, that the outermost point of the tibial tuberosity is on a certain cross section below the tibial plateau and is farthest from the mechanical axis, thereby improving the feasibility of locating the coronal and sagittal planes of the tibial model.

[0042] For example, such as Figure 2 As shown, this is a schematic diagram of the tibia shape and coordinate system. In the tibia model of this application embodiment, the mechanical axis is the Y-axis, and the lower end of the mechanical axis is the coordinate origin O. It should be noted that the mechanical axis has been identified beforehand. The specific identification method is not specifically limited here. In the following steps, the coronal plane of the tibia is the ZOY plane, and the sagittal plane is the XOY plane. Both need to be further identified, which will be described in detail in the following steps.

[0043] For example, such as Figure 3 As shown, this is a schematic diagram of the tibial longest axis positioning results. In this embodiment, it can be found through multiple extractions of cross-sections that the outer end of the tibial tuberosity is distributed below the tibial plateau and within a cross-section of 15.79 ± 1.76% of the total tibial length. Furthermore, the point P furthest from the mechanical axis on the obtained cross-section can be located near the outer end of the tibial tuberosity. Therefore, selecting the point P furthest from the mechanical axis as the outer end of the tibial tuberosity within a cross-section of 15.79% of the total tibial length below the tibial plateau can improve the stability of the identification marker method.

[0044] In step S103, based on the distance and angle relationship between the points at the inner 1 / 3 and inner 1 / 2 positions of the tibial tuberosity on the target cross-section, the coronal and sagittal planes of the tibia model are located based on the outermost endpoint of the tibial tuberosity.

[0045] It is understood that, according to the distance and angle relationship between the points at the inner 1 / 3 and inner 1 / 2 positions of the tibial tuberosity on the target cross section in the following steps, the coronal and sagittal planes of the tibial model in the following steps can be located based on the outermost endpoint of the tibial tuberosity. Thus, the computer can achieve automatic positioning of the model, improve the accuracy and applicability of tibial positioning, and facilitate the development of total knee arthroplasty.

[0046] For example, such as Figure 4As shown in a schematic diagram of a mathematical model method cross-sectional relationship, according to relevant anatomical statistical results, the tibial tuberosity is a segment of an arc with the mechanical axis as the center (point O), the farthest point P extracted from the mechanical axis is the outermost point of the tibial tuberosity, the distance between the point P and the mechanical axis is R, the horizontal distance between the inner 1 / 3 position and the inner 1 / 2 position of the tibial tuberosity in the coronal plane is L, the value of L is between 3.5 and 4.5 mm, and tests on multiple tibial models show that when L is 4.5 mm, the tibial over-rotation during positioning can be effectively avoided, and the positioning result is more consistent with the clinical application.

[0047] Next, the application embodiment can propose the identification core of the mathematical model method, that is, assuming that the tibial tuberosity is a segment of an arc with the mechanical axis as the center (point O) on the cross section where the point P is located, the farthest point P extracted from the mechanical axis is the outermost point of the tibial tuberosity, the distance between the point P and the mechanical axis is R, the horizontal distance between the inner 1 / 3 position and the inner 1 / 2 position of the tibial tuberosity in the coronal plane is L, the value of L is between 3.5 and 4.5 mm, and tests on multiple tibial models show that when L is 4.5 mm, the tibial over-rotation during positioning can be effectively avoided, and the positioning result is more consistent with the clinical application.

[0048] It should be noted that there are many anatomical statistical methods in the above steps, which are not limited here.

[0049] Optionally, in an embodiment of the application, the angle between the inner 1 / 3 position of the tibial tuberosity and the outermost point of the tibial tuberosity satisfies a preset condition.

[0050] In an embodiment of the application, the preset condition includes:

[0051] θ = 4 arcsin (L / R),

[0052] Wherein, θ is the angle between the inner 1 / 3 position of the tibial tuberosity and the outermost point, L is the horizontal distance between the inner 1 / 3 position of the tibial tuberosity, and R is the distance between the outermost point of the tibial tuberosity and the mechanical axis.

[0053] For example, as shown in Figure 4 In the embodiment of the application, ∠POA = 2 / 3, ∠POB = 1 / 2, and ∠BOA = 1 / 6, so that the angle between the inner 1 / 3 position of the tibial tuberosity and the outermost point of the tibial tuberosity satisfies the preset condition:

[0054] θ = ∠AOP = 4 ∠BOA = 4 arcsin (L / R),

[0055] Wherein, θ is the angle between the inner 1 / 3 position of the tibial tuberosity and the outermost point, L is the horizontal distance between the inner 1 / 3 position of the tibial tuberosity, and R is the distance between the outermost point of the tibial tuberosity and the mechanical axis.

[0056] Optionally, in an embodiment of the application, the line connecting the inner 1 / 3 position of the tibial tuberosity and the mechanical axis is the model sagittal plane, and the mutually perpendicular plane is the model coronal plane.

[0057] In some embodiments, as Figure 4As shown, according to the formula in the above step, the embodiment of the present application can determine the point A at the inner 1 / 3 position of the tibial tuberosity under the condition that the mechanical axis center O, the outer end point P of the tibial tuberosity and L = 4.5 mm are determined, at this time, OA is the reference sagittal plane, and the coronal plane is perpendicular to OA in the plane, thereby effectively meeting the clinical needs and improving the accuracy of tibial positioning.

[0058] According to the tibial model positioning method proposed in the embodiment of the present application, the longest axis of the tibia in the target cross section can be determined based on the anatomical features of the human body, the outermost end point of the tibial tuberosity farthest from the mechanical axis is positioned according to the longest axis of the tibia, and the tibial coronal plane and the tibial sagittal plane of the tibial model are positioned based on the outermost end point of the tibial tuberosity according to the distance and angle relationship between the points at the inner 1 / 3 position and the inner 1 / 2 position of the tibial tuberosity on the target cross section, so that the computer can realize automatic positioning of the model, thereby improving the accuracy and applicability of tibial positioning. Thus, the problem that the coronal plane direction obtained in the related art has a large difference with the direction of the long axis of the tibial platform, which leads to the computer being unable to automatically extract, especially for patients with damaged tibia, is solved, and the problem that it is difficult to meet the clinical needs and reduce the accuracy and applicability of tibial positioning is solved.

[0059] Next, the tibial model positioning device according to the embodiment of the present application is described with reference to the accompanying drawings.

[0060] Figure 5 is a block schematic diagram of the tibial model positioning device of the embodiment of the present application.

[0061] As shown in the formula in the above step, the embodiment of the present application can determine the point A at the inner 1 / 3 position of the tibial tuberosity under the condition that the mechanical axis center O, the outer end point P of the tibial tuberosity and L = 4.5 mm are determined, at this time, OA is the reference sagittal plane, and the coronal plane is perpendicular to OA in the plane, thereby effectively meeting the clinical needs and improving the accuracy of tibial positioning. Figure 5 The tibial model positioning device 10 includes a determination module 100, a first positioning module 200 and a second positioning module 300.

[0062] Specifically, the determination module 100 is configured to determine the longest axis of the tibia in the target cross section based on the anatomical features of the human body.

[0063] The first positioning module 200 is configured to position the outermost end point of the tibial tuberosity farthest from the mechanical axis according to the longest axis of the tibia.

[0064] The second positioning module 300 is configured to position the tibial coronal plane and the tibial sagittal plane of the tibial model based on the outermost end point of the tibial tuberosity according to the distance and angle relationship between the points at the inner 1 / 3 position and the inner 1 / 2 position of the tibial tuberosity on the target cross section.

[0065] Optionally, in an embodiment of the present application, the angle between the inner 1 / 3 position of the tibial tuberosity and the outermost end point of the tibial tuberosity satisfies a preset condition.

[0066] Optionally, in an embodiment of the present application, the preset condition includes:

[0067] θ = 4arcsin(L / R),

[0068] wherein θ is the included angle between the inner 1 / 3 position of the tibial tuberosity and the outermost end point, L is the horizontal distance of the inner 1 / 3 position of the tibial tuberosity, and R is the distance from the outermost end point of the tibial tuberosity to the mechanical axis.

[0069] Optionally, in an embodiment of the present application, the line connecting the inner 1 / 3 position of the tibial tuberosity and the mechanical axis is the sagittal plane of the model, and the mutually perpendicular plane is the coronal plane of the model.

[0070] It should be noted that the foregoing explanation and description of the embodiment of the tibial model positioning method also applies to the tibial model positioning device of this embodiment, which will not be described here again.

[0071] The tibial model positioning device according to the embodiment of the present application can determine the longest axis of the tibia in the target cross section based on the anatomical features of the human body, and position the outermost end point of the tibial tuberosity farthest from the mechanical axis according to the longest axis of the tibia. According to the distance and angle relationship between the inner 1 / 3 position and the inner 1 / 2 position of the tibial tuberosity on the target cross section, the coronal plane and the sagittal plane of the tibial model are positioned based on the outermost end point of the tibial tuberosity. Thus, the computer can realize automatic positioning of the model, thereby improving the accuracy and applicability of tibial positioning. Thus, the problem that the coronal plane direction obtained in the related art has a large difference with the direction of the long axis of the tibial plateau, which leads to the computer being unable to automatically extract, especially for patients with damaged tibia, and thus it is difficult to meet the clinical needs, and the accuracy and applicability of tibial positioning are reduced, is solved.

[0072] Figure 6 The structure schematic diagram of an electronic device provided by an embodiment of the present application is shown. The electronic device can include:

[0073] The memory 601, the processor 602, and the computer program stored in the memory 601 and executable on the processor 602.

[0074] The processor 602 implements the tibial model positioning method provided in the above embodiments when executing the program.

[0075] Further, the electronic device further includes:

[0076] The communication interface 603 is used for communication between the memory 601 and the processor 602.

[0077] The memory 601 is used to store the computer program executable on the processor 602.

[0078] The memory 601 can include a high-speed RAM memory, and can also include a non-volatile memory, for example, at least one disk memory.

[0079] If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 can be connected to each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 6 In the figure, only one thick line is used to represent the bus, but it does not mean that there is only one bus or only one type of bus.

[0080] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can complete communication between each other through an internal interface.

[0081] The processor 602 can be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0082] The embodiment also provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the tibial model positioning method.

[0083] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example, two, three or the like, unless explicitly stated otherwise.

[0084] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features of the application, and do not imply or connote relative importance or a specific order of precedence. Thus, features defined with "first", "second", etc. can include at least one of the features, either explicitly or implicitly.

[0085] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments of modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes or methods described in flow charts or otherwise described herein are not necessarily performed in the order shown or discussed, including, for example, performing or depending from other operations or stages, in parallel, in reverse order, or in some other suitable manner.

[0086] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions stored in a computer readable medium, which can be executed by an instruction execution system, apparatus or device, such as a computer-based system, a processor-based system, or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or a combination of them. For the purposes of this specification, a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus or device. The computer readable medium can be a computer readable storage medium or a computer readable signal medium. The computer readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a propagation medium. The computer readable signal medium can include, but is not limited to, a computer readable medium that facilitates transfer of the program from one place to another. A specific example of a computer readable medium is a non-transitory computer-readable storage medium. A specific example of a computer readable signal medium is a source or destination of the computer readable medium. Another specific example of a computer readable signal medium is a computer readable signal travelling through space. Thus, a computer readable medium can take many forms of hardware to carry out the program for use by or in connection with the instruction execution system, apparatus or device.

[0087] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, or their combinations can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0088] Those skilled in the art can understand that all or part of the steps carried out by the above-mentioned embodiment methods can be completed by programs instructing related hardware, and the programs can be stored in a computer readable storage medium. When the programs are executed, one or a combination of the steps of the method embodiments is included.

[0089] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module. When the integrated module is realized in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0090] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method for locating a tibial model, characterized in that, The method comprises the following steps: determining a longest axis of the tibia in a target cross section based on anatomical features of the human body; locating an outermost point of the tibial tuberosity farthest from the mechanical axis according to the longest axis of the tibia; and locating a coronal plane and a sagittal plane of the tibial model based on the outermost point of the tibial tuberosity according to the distance and angle relationship between points at 1 / 3 and 1 / 2 of the tibial tuberosity on the target cross section; the angle between the point at 1 / 3 of the tibial tuberosity and the outermost point of the tibial tuberosity satisfies a preset condition; the preset condition comprises: wherein, θ is the angle between the inner 1 / 3 position of the tibial tuberosity and the outermost point of the tibial tuberosity, L is the horizontal distance between the inner 1 / 3 position of the tibial tuberosity and the inner 1 / 2 position of the tibial tuberosity, R is the distance from the outermost point of the tibial tuberosity to the mechanical axis.

2. The method of claim 1, wherein, the line connecting the point at 1 / 3 of the tibial tuberosity and the mechanical axis is the model sagittal plane, and the mutually perpendicular plane is the model coronal plane.

3. A tibial model positioning device, characterized by, The method comprises: determining a longest axis of the tibia in a target cross section based on anatomical features of the human body; locating an outermost point of the tibial tuberosity farthest from the mechanical axis according to the longest axis of the tibia; and locating a coronal plane and a sagittal plane of the tibial model based on the outermost point of the tibial tuberosity according to the distance and angle relationship between points at 1 / 3 and 1 / 2 of the tibial tuberosity on the target cross section; the angle between the point at 1 / 3 of the tibial tuberosity and the outermost point of the tibial tuberosity satisfies a preset condition; the preset condition comprises: wherein, θ is the angle between the inner 1 / 3 position of the tibial tuberosity and the outermost point of the tibial tuberosity, L is the horizontal distance between the inner 1 / 3 position of the tibial tuberosity and the inner 1 / 2 position of the tibial tuberosity, R is the distance from the outermost point of the tibial tuberosity to the mechanical axis.

4. The apparatus of claim 3, wherein, the line connecting the point at 1 / 3 of the tibial tuberosity and the mechanical axis is the model sagittal plane, and the mutually perpendicular plane is the model coronal plane.

5. An electronic device, comprising: The method comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the tibial model positioning method according to any one of claims 1-2.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the tibial model positioning method according to any one of claims 1-2.

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