Method for establishing intracranial vessel simulation three-dimensional stenosis model based on transfer learning

A technology of intracranial blood vessels and three-dimensional models, which is applied in the field of image processing to achieve the effects of facilitating intuitive observation, improving registration efficiency, and improving registration accuracy

Inactive Publication Date: 2021-04-02
XIAN CREATION KEJI CO LTD
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Because the images corresponding to the bright blood sequence and black blood sequence obtained by magnetic resonance angiography are two-dimensional images, they have limitations

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 vessel simulation three-dimensional stenosis model based on transfer learning
  • Method for establishing intracranial vessel simulation three-dimensional stenosis model based on transfer learning
  • Method for establishing intracranial vessel simulation three-dimensional stenosis model based on transfer learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to obtain the overall state of intracranial blood vessels in a simple, fast and intuitive way. An embodiment of the present invention provides a method for establishing a three-dimensional stenosis model for intracranial blood vessel simulation based on transfer learning.

[0028] Such as figure 1 As shown, a method for establishing a three-dimensional stenosis model for intracranial blood vessel simulation based on transfer learning provided by an embodiment of the present invention may include the following steps:

[0029] S1, acquiring bright blood image group and enhanced black blood image group of intracranial blood vessels;

[0030] Among them, the bright blood image group and the enhanced black blood image group include K bright blood images and K enhanced black blood images respectively; the images in the bright blood image group and the enhanced black blood image group correspond one to one; K is a natural number greater than 2 ;

[0031] The bright...

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 vessel simulation three-dimensional stenosis model based on transfer learning. The method comprises the following steps: acquiring a bright blood image group and an enhanced black blood image group of an intracranial vessel; preprocessing each bright blood image and the corresponding enhanced black blood image to obtain a first bright blood image and a first black blood image; performing image registration by using mutual information based on Gaussian distribution sampling and a registration method of an image pyramid; groupingthe registered bright blood images to obtain MIP images in all directions; obtaining a two-dimensional blood vessel segmentation image based on the MIP image and the fundus blood vessel image; performing back projection synthesis on the two-dimensional blood vessel segmentation image to obtain first three-dimensional blood vessel body data, and obtaining an intracranial blood vessel simulation three-dimensional model by utilizing the second three-dimensional blood vessel body data; and for each section of blood vessel in the model, obtaining a numerical value of a target parameter representingthe stenosis degree of the section of blood vessel, and marking the intracranial blood vessel simulation three-dimensional model by utilizing the numerical value of the target parameter to obtain a simulated three-dimensional intracranial blood vessel stenosis analysis model.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for establishing a three-dimensional stenosis model for intracranial blood vessel simulation based on transfer learning. Background technique [0002] According to medical data, from 1990 to 2017, the number one cause of death among residents in 34 provinces of China (including Hong Kong, Macao and Taiwan) 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. [0003] At present, methods based on lumen imaging are usually used to evaluate the degree of intracranial vascular lesions and vascular stenosis clinically, such as digital subtraction angiography (Digital Subtraction Angiography, DSA), CT angiography (Computed Tomography Angiography, CTA). ), magnetic resonance angiography (Magnetic Resonance A...

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): G06T7/00G06T7/136G06T7/33G06T5/20G06T11/00G06T17/00G16H30/20G06N3/04G06N3/08
CPCG06T7/0012G06T7/136G06T7/344G06T5/20G06T11/006G06T17/00G16H30/20G06N3/08G06T2207/10088G06T2207/20024G06T2207/20016G06T2207/20081G06T2207/20084G06T2207/30101G06T2211/421G06T2211/424G06N3/045
Inventor 贾艳楠
Owner XIAN CREATION KEJI CO LTD
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