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

Method for establishing intracranial angiography enhanced three-dimensional model based on transfer learning

A three-dimensional model, contrast enhancement technology, applied in the field of image processing, can solve problems such as unfavorable intracranial blood vessels, achieve comprehensive blood vessel information, good promotion, and eliminate flow and void artifacts.

Pending Publication Date: 2021-04-16
XIDIAN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, two-dimensional images have limitations, which is not conducive to obtaining real information of intracranial blood vessels easily and quickly.

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 establishing intracranial angiography enhanced three-dimensional model based on transfer learning
  • Method for establishing intracranial angiography enhanced three-dimensional model based on transfer learning
  • Method for establishing intracranial angiography enhanced three-dimensional model based on transfer learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to obtain real information of intracranial blood vessels simply and quickly in clinical application, it can be used for analysis of intracranial vascular lesions. An embodiment of the present invention provides a method for establishing an enhanced three-dimensional model of intracranial angiography based on transfer learning.

[0037] Such as figure 1 as shown, figure 1 A schematic flowchart of a method for establishing a three-dimensional model of enhanced intracranial angiography based on transfer learning provided by an embodiment of the present invention may include the following steps:

[0038] S1, acquiring bright blood image group, black blood image group and enhanced black blood image group of intracranial blood vessels;

[0039] Among them, the bright blood image group, the black blood image group, and the enhanced black blood image group respectively include K bright blood images, black blood images, and enhanced black blood images; the bright bloo...

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 for establishing an intracranial angiography enhanced three-dimensional model based on transfer learning. The method comprises the following steps: acquiring a bright blood image group, a black blood image group and an enhanced black blood image group; preprocessing to obtain a first bright blood image and a first black blood image; taking the corresponding first black blood image as a reference for each first bright blood image, and obtaining a registered bright blood image group by using mutual information based on Gaussian distribution sampling and a registration method of an image pyramid; performing flow empty artifact elimination to obtain an artifact-eliminated enhanced black blood image group; subtracting corresponding images in the artifact elimination enhanced black blood image group and the black blood image group to obtain K contrast enhanced images; and establishing a blood three-dimensional model by utilizing the registered bright blood image group and adopting a transfer learning method, and establishing a blood vessel three-dimensional model of blood boundary expansion by utilizing the registered bright blood image group. The whole state of the intracranial blood vessel can be simply, conveniently, rapidly and visually obtained clinically so that intracranial vascular lesion analysis can be conducted.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for establishing an enhanced three-dimensional model of intracranial angiography based on transfer learning. Background technique [0002] With the rapid development of my country's national economy, people pay more and more attention to health issues. A paper published by "Lancet" in June 2019 analyzed the causes of death of residents in 34 provinces in China (including Hong Kong, Macao and Taiwan) from 1990 to 2017, and found that the number one cause of death among Chinese was stroke. Stroke is the rupture, stenosis or blockage of intracranial blood vessels that causes brain tissue necrosis, resulting in a series of symptoms, including cerebral hemorrhage, cerebral infarction, etc. If the treatment is not timely, the patient may die; disabled. [0003] At present, methods based on lumen imaging are usually used to evaluate the degree of intracranial vascu...

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): G06T17/00G06T7/00G06T7/30
Inventor 贾广李檀平张向淮郝嘉雪黄旭楠高敬龙张小玲汤敏谭丽娜苗启广张昱张艺飞梁小凤王泽
Owner XIDIAN UNIV
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