Total hip replacement revision preoperative planning method and equipment based on deep learning

Abstract

The invention provides a total hip replacement revision preoperative planning method and equipment based on deep learning. The method comprises the following steps: acquiring pelvis and femur image data of a patient, acquiring a three-dimensional skeleton structure based on the pelvis and femur image data, and extracting an original implant in the three-dimensional skeleton structure; identifying key points in the three-dimensional skeleton structure; and based on the key points and the shape and size of the original implant, selecting a proper prosthesis model from a database in which prosthesis models are pre-stored, and carrying out visual simulation prosthesis matching. Technical support is provided for doctors to carry out total hip replacement revision, so that the surgical operation is more accurate and safer, and the development of the surgical operation towards the intelligent, precise and minimally invasive direction is promoted.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a deep learning-based preoperative planning method and equipment for total hip replacement revision. Background technique [0002] Revision hip arthroplasty refers to the restoration of joint function by reimplanting a new prosthesis that can be firmly fixed and restoring (or substantially restoring) the anatomical shape of the joint. [0003] With the extensive development of artificial total hip replacement, the pain and joint dysfunction caused by aseptic loosening, osteolysis, infection, fracture prosthesis fracture, poor position, dislocation and other reasons are increasing. The clinical need for revision arthroplasty is also increasing. However, compared with primary total hip replacement, revision surgery is more costly, complicated, and requires higher surgical skills and clinical experience, such as removal of the original prosthesis, prevention...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a deep learning-based preoperative planning method, device, electronic equipment and storage medium for total hip replacement revision, which are used to solve the defects existing in artificial hip revision in the prior art, so that doctors can rely on artificial intelligence technology , under the premise of separating the original prosthesis, observe the remaining bone volume of the patient after removing the original prosthesis, and perform visual matching of the newly implanted prosthesis model

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