Unlock instant, AI-driven research and patent intelligence for your innovation.

Image processing method and device for total hip joint based on deep learning and x-ray

A deep learning and image processing technology, applied in the medical field, can solve the problems of unguaranteed accuracy and low efficiency, and achieve the effect of good preoperative support

Active Publication Date: 2021-07-27
LONGWOOD VALLEY MEDICAL TECH CO LTD
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the main method of preoperative planning is manual measurement through various tools, which is inefficient and cannot guarantee accuracy. Therefore, it is urgent to provide a more convenient and accurate preoperative planning method to provide better results for total hip replacement surgery. preoperative support

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image processing method and device for total hip joint based on deep learning and x-ray
  • Image processing method and device for total hip joint based on deep learning and x-ray
  • Image processing method and device for total hip joint based on deep learning and x-ray

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0067] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present application discloses a method and device for image processing of a total hip joint based on deep learning and X-rays. The method of the present application includes acquiring an X-ray image of the hip joint, the X-ray image of the hip joint includes an image of a reference object, The reference object is a reference object of known size; according to the ratio of the image size of the reference object to its actual size, the X-ray image of the hip joint is restored in size; based on the deep learning model, the X-ray image of the restored hip joint Image recognition to determine the leg length difference, acetabular cup position and the specification of the femoral stem prosthesis; determined according to the rotation center of the femoral stem prosthesis and the acetabular cup determined during the X-ray image recognition process of the hip joint Osteotomy line location. The purpose of this application is to propose a more convenient and accurate preoperative planning method to provide better preoperative support for total hip replacement surgery.

Description

technical field [0001] The present application relates to the field of medical technology, in particular, to a method and device for image processing of total hip joints based on deep learning and X-rays. Background technique [0002] In the medical field, the preoperative planning of total hip replacement surgery mainly includes the calculation of the required prosthesis type and the position of the osteotomy line. The preoperative planning of total hip joint replacement surgery plays a very important role in the success rate of the operation. Therefore, how to It is very important to provide accurate preoperative planning. At present, the main method of preoperative planning is manual measurement through various tools, which is inefficient and cannot guarantee accuracy. Therefore, it is urgent to provide a more convenient and accurate preoperative planning method to provide better results for total hip replacement surgery. Preoperative support. Contents of the invention...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): A61F2/46
CPCA61F2/46A61F2002/4633
Inventor 张逸凌刘星宇
Owner LONGWOOD VALLEY MEDICAL TECH CO LTD