Artificial hip joint prosthesis type matching method and system

A hip and body shape technology, applied in the field of deep learning, can solve the problems of time-consuming, labor-intensive, treatment effect, and prosthesis service life, so as to reduce the revision rate and reduce subjective judgment errors.

Pending Publication Date: 2021-11-30
瓴域影诺北京科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the preoperative planning, if the type and size of the prosthesis are not accurately judged, the postoperative treatment effect may be affected, and the service life of the prosthesis may be affected. production cost
The matching of the prosthesis and the cross-section of the proximal femoral canal is very important, and the matching degree of the method measured by the traditional printed X-ray film template is very low, so it is very necessary to find a fully automatic method for the prediction before total hip arthroplasty Prosthesis model
[0003] Traditional methods usually use film template measurement. This measurement method is time-consuming and labor-intensive, and is related to the subjective judgment of the doctor, so it will lead to the inability to accurately locate the prosthesis model; A method for measuring landmark points, which detects key points before hip replacement surgery and can be used for calculation of important preoperative information
But this method fails to match the correct size of the hip prosthesis

Method used

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  • Artificial hip joint prosthesis type matching method and system
  • Artificial hip joint prosthesis type matching method and system
  • Artificial hip joint prosthesis type matching method and system

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Embodiment Construction

[0055] The implementation mode of the embodiment of the present application is illustrated by specific specific examples below. Those who are familiar with this technology can easily understand other advantages and effects of the embodiment of the present application from the content disclosed in this specification. Obviously, the described embodiment is the embodiment of the present application. The application embodiments are part of the embodiments, but not all of the embodiments. Based on the embodiments in the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the embodiments of the present application.

[0056] figure 1 A method for matching artificial hip joint prosthesis models is shown, which specifically includes the following steps:

[0057] Step 101: Preprocessing the X-ray image of the hip joint, and obtaining key points of the hip joint b...

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Abstract

The embodiment of the invention discloses an artificial hip joint prosthesis type matching method and system, and the method comprises the steps: carrying out the preprocessing of a hip joint X-ray image, and obtaining a hip joint key point based on a convolutional neural network; calculating the diameter of the femoral head according to the rotation center of a femoral head, an acetabular fossa and acetabular lower edge key points; calculating an eccentric distance according to the rotation center of the femoral head and the central axis; acquiring a distal edge point of the femoral marrow cavity, and calculating a distal diameter; matching an acetabular cup and the placement angle of the acetabular cup through the diameter of the femoral head, and matching a femoral stem through the eccentric distance and the diameter of the far end, so that the hip joint prosthesis shape is matched. A proper artificial hip joint prosthesis model is automatically matched, so that subjective judgment errors of doctors can be reduced, and the revision rate is reduced.

Description

technical field [0001] The embodiments of the present application relate to the field of deep learning technology, and in particular to a method and system for matching models of artificial hip joint prosthesis. Background technique [0002] Before hip replacement surgery, different manufacturers and types of hip prostheses need to be selected according to the individual characteristics of the patient. In the preoperative planning, if the type and size of the prosthesis are not accurately judged, the postoperative treatment effect may be affected, and the service life of the prosthesis may be affected. production company costs. The matching of the prosthesis and the proximal femoral medullary canal cross-section is very important, and the matching degree measured by the traditional printed X-ray film template is very low, so it is very necessary to find a fully automatic method for pre- total hip arthroplasty prediction Prosthesis model. [0003] Traditional methods usual...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/62G06T7/73
CPCG06T7/62G06T7/75G06T2207/20081G06T2207/20084G06T2207/30052G06T2207/30196
Inventor 怀晓晨穆红章
Owner 瓴域影诺北京科技有限公司
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