Check patentability & draft patents in minutes with Patsnap Eureka AI!

Method and device for identifying aortic dissection image, storage medium and electronic equipment

A technology for aortic dissection and arterial dissection, applied in the field of image processing, can solve problems such as time-consuming and unfavorable for patients with aortic dissection to receive treatment in a timely manner, and achieve the effect of improving the accuracy rate

Pending Publication Date: 2022-06-24
沈阳东软智能医疗科技研究院有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method of waiting for manual and manual analysis of images takes a long time, which is not conducive to timely treatment of patients with aortic dissection

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 identifying aortic dissection image, storage medium and electronic equipment
  • Method and device for identifying aortic dissection image, storage medium and electronic equipment
  • Method and device for identifying aortic dissection image, storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0124]Since the human heart is in a state of continuous beating, the continuous beating of the heart causes the blood vessels to rise and fall continuously. In the process of CTA examination, the continuous fluctuation of blood vessels will cause artifacts in CTA images, which are very similar to the imaging characteristics of aortic dissection, and it is easy to misjudge the artifact as aortic dissection. Therefore, in order to eliminate the interference caused by artifacts, the embodiment of the present disclosure also provides another implementation manner of determining whether a CTA image is an aortic dissection image according to the recognition results corresponding to each to-be-recognized layer set in the to-be-recognized layer set sequence ,details as follows:

[0125] The determining whether the CTA image is an image of aortic dissection according to the identification results corresponding to each of the to-be-identified layer sets in the to-be-identified layer set...

Embodiment approach 1

[0132] Embodiment 1. The determining whether the CTA image is an image of aortic dissection according to the identification result corresponding to each of the to-be-identified layer sets in the to-be-identified layer set sequence includes:

[0133] For each of the to-be-identified layer sets, when the identification result of the to-be-identified layer set indicates that aortic dissection exists in the target layer in the to-be-identified layer set, the to-be-identified layer set is The concentrated target layer is determined as a valid target layer;

[0134] Determine the number of consecutive valid target layers in the 3D vessel image of the aorta;

[0135] When the number exceeds a preset number threshold, it is determined that the CTA image is the aortic dissection image.

Embodiment approach 2

[0136] Embodiment 2. The determining whether the CTA image is an image of aortic dissection according to the identification results corresponding to each of the to-be-identified layer sets in the to-be-identified layer set sequence includes:

[0137] For each of the to-be-identified layer sets, when the identification result of the to-be-identified layer set indicates that aortic dissection exists in the target layer in the to-be-identified layer set, the to-be-identified layer set is The concentrated target layer is determined as a valid target layer;

[0138] Determine the number of consecutive valid target layers in the 3D vessel image of the aorta;

[0139] Calculate the axial length of aortic dissection according to the number and layer spacing;

[0140] When the axial length is greater than a preset axial length threshold, it is determined that the CTA image is the aortic dissection image.

[0141] Optionally, the extracting the aorta 3D blood vessel image from the CTA...

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 relates to a method and device for identifying an aortic dissection image, a storage medium and electronic equipment. The method comprises the following steps: acquiring an aorta CTA image, and extracting an aorta 3D blood vessel image from the CTA image; constructing a to-be-recognized layer set sequence according to the aorta 3D blood vessel image, wherein a to-be-recognized layer in each to-be-recognized layer set is a 2D image; inputting the to-be-recognized layer set into a trained aortic dissection recognition model to obtain a recognition result representing whether the aortic dissection exists in the to-be-recognized layer set; and determining whether the CTA image is an aortic dissection image or not according to the recognition result corresponding to each to-be-recognized layer set in the to-be-recognized layer set sequence. By adopting the method, whether the aorta CTA image is the aorta dissection image or not can be quickly and accurately judged.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular, to a method, device, storage medium and electronic device for identifying aortic dissection images. Background technique [0002] Aortic dissection refers to the blood in the aortic lumen entering the aortic media from the tear of the aortic intima, so that the intima and media are separated, and the blood expands along the long axis of the aorta to form the aortic wall. The true and false two-chamber separation state. Among them, the diaphragm between the true lumen and the false lumen is called a sandwich membrane. Once aortic dissection ruptures, it can lead to massive hemorrhage, which is a clinical emergency and has a very high mortality rate. [0003] In the related art, due to the heavy workload of doctors and the fact that doctors usually conduct consultations in sequence according to the registration order of each patient, it takes 1 to 2 hours at t...

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): G06V20/64G06V10/26G06V10/28G06T7/00G06T7/11G06T7/136G06T7/187
CPCG06T7/0012G06T7/11G06T7/136G06T7/187G06T2207/10081G06T2207/30101
Inventor 平安彭成宝
Owner 沈阳东软智能医疗科技研究院有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More