Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Aortic dissection dynamic detection method based on morphology and deep learning

A morphology-based technology for aortic dissection, applied in image data processing, instrumentation, computing, etc., can solve the problems of not being widely promoted and low accuracy.

Inactive Publication Date: 2019-09-20
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, the existing methods have not been widely promoted due to their low accuracy.

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
  • Aortic dissection dynamic detection method based on morphology and deep learning
  • Aortic dissection dynamic detection method based on morphology and deep learning
  • Aortic dissection dynamic detection method based on morphology and deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Example 1: Basic principles of aortic dissection:

[0051] Aortic dissection refers to the fact that blood in the aortic cavity, driven by pulse pressure, directly penetrates the middle layer of the lesion through the intimal tear, resulting in separation of the middle layer; and extends along the direction of the artery to form a true and false lumen.

[0052] Figure 1-2 Shown is a CTA image of a patient with aortic dissection; the shape of the aorta changes as the scan location is changed. figure 1 , 2, superior vena cava refers to superior vena cava, trachea refers to trachea, Dssection of aortic arch dissection of aortic arch; Dissection of ascending aorta refers to ascending arterial dissection; left coronary artery refers to left coronary artery; pulmonary artery refers to pulmonary artery; dissection of descending aorta refers to descending Arterial dissection.

[0053] figure 1 A cross-sectional view of the aortic arch is shown, and the part circled by the y...

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

Aortic dissection (AD) is a dangerous cardiovascular disease, has extremely high clinical mortality, and has a sharp increase in the incidence rate in recent years. The invention discloses an aortic dissection dynamic detection method based on morphology and deep learning. The method comprises the steps of: 1, establishing a CTA sample set; and 2, carrying out deep learning based on CTA images in the CTA sample set, and carrying out disease detection; 2.1, performing deep learning based on the region of interest to obtain a learned convolutional neural network; and 2.2, for the new CTA image, performing disease detection based on the learned convolutional neural network in combination with the region of interest. The aortic dissection dynamic detection method based on the morphology and the deep learning is easy to implement and high in detection efficiency. Experiments show that the adopted deep learning method is far superior to a traditional method, and the method based on DenseNet 121 is more excellent.

Description

technical field [0001] The invention relates to a dynamic detection method for aortic dissection based on morphology and deep learning. Background technique [0002] Aortic dissection (AD) is a dangerous cardiovascular disease with extremely high clinical mortality rate, and its incidence has surged in recent years; the disease originates in the intima and media of the aortic wall Intimal tears; driven by pulse pressure, the blood in the aortic lumen directly penetrates the middle layer of the lesion through the intimal tear, resulting in separation of the middle layer; in recent years, the number of cases of this disease has increased day by day. [0003] Multi-slice CT angiography is a kind of non-diffusion angiography. By injecting contrast agent into the blood vessels to display blood vessels in different parts of the body, this technology can not only provide morphological information of lumen changes, but also display the vascular structure of blood vessels. wall lesi...

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): G06T7/00
CPCG06T7/0012G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30101
Inventor 谭云谭凌向旭宇唐浩秦姣华
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com