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

A total hip replacement and deep learning technology, applied in the field of preoperative planning for total hip replacement revision, to achieve accurate surgical operations and promote intelligent effects

Active Publication Date: 2021-06-18
BEI JING LONGWOOD VALLEY MEDICAL TECH CO LTD +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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

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

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Embodiment Construction

[0040] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0041] refer to Figure 1a , Figure 1a It is a schematic flow chart of the preoperative planning method for total hip arthroplasty revision based on deep learning provided by the present invention, including the following steps:

[0042] Step S110, obtaining image data of the patient's pelvis and femur, obtaining a three-dimensional bone structure based on the image data of the pelvis and fe...

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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...

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Application Information

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IPC IPC(8): A61B34/10A61F2/46
CPCA61B34/10A61F2/46A61F2/4609A61F2/4607A61B2034/104A61B2034/105A61B2034/107A61B2034/108A61F2002/4633
Inventor 张逸凌刘星宇
Owner BEI JING LONGWOOD VALLEY MEDICAL TECH CO LTD
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