Acetabulum bone defect detection method and device, storage medium and processor

Abstract

The invention provides an acetabulum bone defect detection method and device, a storage medium and a processor. The detection method comprises the following steps: acquiring medical image data to be detected, wherein the medical image data to be detected is medical image data of an acetabulum part of a person to be detected; analyzing the medical image data to be detected by adopting the detectionmodel; determining the acetabular bone defect degree of the to-be-detected medical image data, the detection model being trained by using multiple groups of data through deep learning, and each groupof data in the multiple groups of data including training medical image data and training acetabular bone defect degree corresponding to the training medical image data. According to the method, theacetabular bone defect degree of the to-be-detected medical image data is determined by adopting the training model instead of adopting a parting method in the prior art, and the training model is obtained by adopting deep learning training, so that the determination result is relatively accurate.

Description

technical field [0001] The present application relates to the medical field, and in particular, to a detection method, detection device, storage medium and processor of an acetabular bone defect. Background technique [0002] As patients undergoing total hip arthroplasty continue to age and become more active, the number of hip revision surgeries continues to grow. There are many reasons for the failure of primary total hip arthroplasty and the need for hip revision surgery, including infection, wear of the polyethylene lining of the prosthesis, and habitual dislocation of the prosthesis. Osteolysis around the prosthesis caused by prosthesis wear debris, resulting in aseptic loosening of the prosthesis is always the main reason for hip revision surgery. Faced with hip revision surgery after the failure of primary hip replacement, the surgical strategy and surgical technique for acetabular defect repair and reconstruction is one of the challenges for orthopaedic surgeons. ...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of this application is to provide a detection method, detection device, storage medium and processor for acetabular bone defect, so as to solve the problem that the evaluation method in the prior art is difficult to accurately judge the degree of acetabular bone defect

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