Method and device for determining medullary cavity anatomical axis based on deep learning

A deep learning and intramedullary cavity technology, applied in the medical field, can solve problems such as high precision requirements and manual calibration can not meet high precision, so as to reduce the failure rate and improve the accuracy

Active Publication Date: 2020-09-11
BEI JING LONGWOOD VALLEY MEDICAL TECH CO LTD
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the method for determining the anatomical axis of the femoral medullary cavity and the anatomical axis of t

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
  • Method and device for determining medullary cavity anatomical axis based on deep learning
  • Method and device for determining medullary cavity anatomical axis based on deep learning
  • Method and device for determining medullary cavity anatomical axis based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056]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.

[0057] 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 invention discloses a method and device for determining a medullary cavity anatomical axis based on deep learning, and the method comprises the steps: carrying out the segmentation of a two-dimensional cross section image according to a preset segmentation neural network, and obtaining a bone region corresponding to a medullary cavity through segmentation; performing layer classification on the bone area according to a preset classification neural network, and separating out a medullary cavity layer; determining central points of all medullary cavity layers according to a central point calculation formula; carrying out straight line fitting on the center point, and determining the medullary cavity anatomical axis. The invention aims to provide a high-precision medullary cavity anatomical axis determination mode.

Description

technical field [0001] The present application relates to the field of medical technology, in particular, to a method and device for determining the anatomical axis of the medullary cavity based on deep learning. Background technique [0002] Whether the anatomical axis of the medullary cavity can be accurately extracted in the medical field is an important factor affecting the success of some medical operations. For example, in total hip arthroplasty, the anatomical axis of the femoral medullary cavity and the anatomical axis of the tibial medullary cavity are two important anatomical axes. The anatomical axis of the femoral medullary cavity is a straight line passing through the femoral medullary cavity, and its direction determines the insertion position of the femoral intramedullary positioning rod in knee joint surgery. The tibial medullary canal anatomical axis is a straight line passing through the tibial medullary canal. At present, the method of determining the an...

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
IPC IPC(8): G06T7/11G06K9/62G06N3/04G06N3/08G06T5/00
CPCG06T7/11G06T5/003G06N3/08G06T2207/30008G06N3/045G06F18/241
Inventor 张逸凌刘星宇安奕成陈鹏许佳
Owner BEI JING LONGWOOD VALLEY MEDICAL TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap