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Total knee arthroplasty post-operation revision pre-operation planning method based on deep learning

A technology of total knee replacement and deep learning, which is applied in the field of preoperative planning for revision after total knee replacement, can solve problems such as the difficulty in determining the position and specification of knee prosthesis, achieve short measurement time, shorten operation time, The effect supported by accurate preoperative data

Active Publication Date: 2022-05-06
LONGWOOD VALLEY MEDICAL TECH CO LTD +1
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Problems solved by technology

[0003] The present invention provides a deep learning-based method and system for planning pre-revision after total knee arthroplasty to solve the technical problem in the prior art that it is difficult to determine the position and specification of the knee joint prosthesis before revision knee arthroplasty

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  • Total knee arthroplasty post-operation revision pre-operation planning method based on deep learning
  • Total knee arthroplasty post-operation revision pre-operation planning method based on deep learning
  • Total knee arthroplasty post-operation revision pre-operation planning method based on deep learning

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Embodiment Construction

[0047] 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.

[0048] figure 1 It is a schematic flow chart of the deep learning-based preoperative planning method for revision after total knee arthroplasty provided by the present invention. refer to figure 1 , the preoperative planning method for total knee arthroplasty based on deep learning provided by the present invention includes: step 110 and step 120 .

[0049] The present invention provides a...

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Abstract

The invention provides a total knee replacement post-operation revision pre-operation planning method based on deep learning, and the method comprises the steps: inputting a pre-operation knee joint image into a deep learning model, and obtaining a pre-operation knee joint prosthesis image and a pre-operation joint line image; wherein the preoperative joint line image is a preoperative knee joint image marked with a knee joint line; and determining the specification, model and position of a first knee joint prosthesis based on the preoperative knee joint prosthesis image and the preoperative joint line image. According to the total knee replacement postoperative revision preoperative planning method based on deep learning, the position, specification and model of the first knee joint prosthesis can be accurately and rapidly recognized, the measurement time is short, the accuracy is high, the operation time is shortened, and more accurate preoperative data support is provided for knee joint revision.

Description

technical field [0001] The present invention relates to the technical field of knee arthroplasty, in particular to a method and system for preoperative planning of total knee arthroplasty based on deep learning. Background technique [0002] After knee replacement, the patient's knee joint may experience symptoms such as looseness, infection, pain, and limited flexion and extension function, which may indicate that the patella track is not correct, and the knee joint prosthesis needs to be revised again. That is, the knee prosthesis is removed and a new knee prosthesis is reinstalled. Due to the impact of primary knee arthroplasty, the normal anatomical structure of the knee joint is destroyed, and there is a lot of bone loss. In revision knee surgery, it is difficult to determine the position and size of the knee prosthesis, resulting in longer operation time and higher risk of surgery and complications. Contents of the invention [0003] The present invention provides ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B34/10
CPCA61B34/10A61B2034/102
Inventor 张逸凌刘星宇
Owner LONGWOOD VALLEY MEDICAL TECH CO LTD
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