Method for calculating ASPECTS score of non-enhanced CT

A CT image and classification model technology, applied in computing, image enhancement, computer parts, etc., can solve the problems of weak mean change, deduction of points, and decreased accuracy, and achieve the effect of expanding the scope of application

Pending Publication Date: 2021-05-28
南京钺曦医疗科技有限公司
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method only judges whether there is infarction in this area, but there are a large number of cases of ischemia without infarction in clinical practice. This method does not distinguish such cases, and many cases that need to be deducted will be missed, resulting in inaccurate scoring
And its infarction judgment method is the bilateral comparison of the regional mean value. When the infarct v...

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 for calculating ASPECTS score of non-enhanced CT
  • Method for calculating ASPECTS score of non-enhanced CT
  • Method for calculating ASPECTS score of non-enhanced CT

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The technical scheme of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all embodiments. Based on the implementation of the present invention For example, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] A method for automatically calculating the ASPECTS score based on deep learning, which can accurately and quickly calculate the ASPECTS score. The present invention comprises the following steps, as figure 1 Shown:

[0043] Step 1: Obtain non-enhanced CT image data of cerebral ischemia, and extract the target area.

[0044] Step 2: Mark whether each region is ischemia.

[0045] Step 3: Design a classification model for cerebral ischemia based on deep l...

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 provides a method for calculating an ASPECTS score of a non-enhanced CT, and the method comprises the following steps: obtaining cerebral ischemia non-enhanced CT image data, and extracting a target region; judging whether ischemia occurs or not, and marking; designing a cerebral ischemia classification model based on deep learning, and training the classification model by using the marked cerebral ischemia non-enhanced CT image data, the input data are an image to be detected, mask images of corresponding areas of the left and right brains and a classification label for judging whether ischemia exists or not; and calculating an ASPECTS score according to the obtained classification result. The method not only considers the local comparison of the left and right sides of the same region, but also considers the global situation of the region in the whole brain tissue.

Description

technical field [0001] The invention relates to the fields of medical images and computers, in particular to an ASPECTS scoring method for calculating non-enhanced CT. Background technique [0002] Alberta Stroke Program Early CT Score (ASPECTS) is a simple, reliable and systematic method to evaluate early ischemic changes in the middle cerebral artery supply area in patients with ischemic stroke. Mainly based on non-enhanced CT scan (NCCT), 10 regions in two layers of the middle cerebral artery blood supply area were selected on the CT image, such as figure 1 Shown are 10 areas on one side, and the opposite side is completely symmetrical to the area shown: ①The level of nuclei (that is, the plane of the thalamus and striatum), divided into M1, M2, M3, insula I, lenticular nucleus L, There are 7 areas of caudate nucleus C and hindlimb IC of the internal capsule; ②The level above the nucleus (2cm above the level of the nucleus), including M4, M5 and M6. The boundary between...

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): G06K9/62G06N3/04G06N3/08G06T7/00G06T7/33A61B6/00
CPCG06T7/0012G06T7/337G06N3/04G06N3/08A61B6/5211A61B6/5217G06T2207/10081G06T2207/30016G06T2207/20081G06T2207/20084G06V2201/03G06F18/2415
Inventor 杨旗边钺岩
Owner 南京钺曦医疗科技有限公司
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