Automatic Cobb angle measurement method based on spine layered reconstruction

An automatic measurement and spine technology, applied in the field of medical artificial intelligence, can solve the problems of slow manual measurement, labor and time consumption, accuracy dependence, etc., to achieve the effect of facilitating medical research and analysis

Pending Publication Date: 2021-12-31
WUHAN UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the Cobb angle is mainly measured manually. First, the upper and lower vertebrae on the side with the most obvious scoliosis are found in the spine image as the upper and lower endplates, and then the straight lines passing through the upper and lower endplates are manually drawn, and finally two straight lines are measured with a protractor. The angle between is the Cobb angle, and the manual measurement speed is too slow, it takes a lot of manpower and time, and the accuracy depends on the professionalism and proficiency of the doctor

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
  • Automatic Cobb angle measurement method based on spine layered reconstruction
  • Automatic Cobb angle measurement method based on spine layered reconstruction
  • Automatic Cobb angle measurement method based on spine layered reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings.

[0046] In the prior art, most of the automatic measurement of Cobb angle is aimed at X-ray images, and X-ray images are planar imaging. The present invention uses double-helix CT images, which are section sequence imaging. With the three-dimensional data of CT double helix, it can be based on Data processing based on the characteristics of vertebrae to generate effective coronal images and remove interference is a problem that cannot be solved by X-ray imaging. Therefore, there are essential differences between the two in terms of imaging principles, data latitude, and accuracy. The focus of the present invention is layered reconstruction, at first according to CT image reconstruction sagittal view, such as image 3 As shown (side), and then reconstruct the three-dimensio...

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 an automatic Cobb angle measurement method based on spine hierarchical reconstruction. The method comprises the following steps: (1) inputting a cross section CT sequence image, preprocessing DICOM original data, performing hierarchical reconstruction to obtain a superposed sagittal graph, selecting a sagittal range of a spine by adopting a template matching method, and then selecting a middle one-third position interval to reconstruct a skeleton coronal graph; (2) based on a deep learning network, training a vertebra segmentation model based on a skeleton coronal diagram, and adopting the model to perform detection segmentation on each section of vertebra of a spine and performing threshold processing to optimize a vertebra gap; (3) extracting a central point of each section of vertebra, and performing curve fitting on a central point set by using a hexatic polynomial to obtain a spine curve; and (4) iteratively solving the Cobb angle by calculating the curvature between the feature points in the spine curve.

Description

technical field [0001] The invention relates to the field of medical artificial intelligence, and in particular proposes a method for automatically measuring Cobb angles based on spine layered reconstruction. Background technique [0002] In recent years, medical imaging technology and artificial intelligence technology have been developing rapidly. Computed tomography is widely used in clinical diagnosis. The study of spinal lesions based on CT scanning combined with deep learning and smart medical care has extremely important practical significance and research value. Using artificial intelligence technology to process and analyze medical image data can provide a powerful auxiliary function for modern medical diagnosis. [0003] When judging scoliosis clinically, Cobb angle is a commonly used research object, and the size of Cobb angle can more accurately reflect the severity of human scoliosis. At present, the Cobb angle is mainly measured manually. First, the upper and ...

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 Applications(China)
IPC IPC(8): G06T3/00G06T7/00G06T7/11G06T7/136G06T7/66G16H30/20
CPCG16H30/20G06T7/0012G06T7/11G06T7/136G06T7/66G06T3/005G06T2207/10081G06T2207/30012
Inventor 李立肖凯刘涛李余隆董瑜
Owner WUHAN UNIV
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