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

Intracranial vascular focus identification method based on transfer learning

A technology of intracranial blood vessels and transfer learning, applied in the field of intracranial vascular lesion identification based on transfer learning, can solve the problems of obtaining real information of blood vessels, disadvantages, etc., achieve good promotion, improve registration accuracy, and eliminate flow space artifacts Effect

Inactive Publication Date: 2021-04-16
XIAN CREATION KEJI CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the two-dimensional image has limitations, which is not conducive to obtaining the real information of 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
  • Intracranial vascular focus identification method based on transfer learning
  • Intracranial vascular focus identification method based on transfer learning
  • Intracranial vascular focus identification method based on transfer learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.

[0037] In order to obtain the real information of blood vessels simply and quickly in clinical application, it can be used for analysis of vascular lesions. An embodiment of the present invention provides a method for identifying intracranial vascular lesions based on transfer learning.

[0038] like figure 1 as shown, figure 1 A schematic flowchart of a method for identifying intracranial vascular lesions based on transfer learning provided by an embodiment of the present invention may include the following steps:

[0039] S1, acquiring bright blood image group, black blood image group and enhanced black blood image group of intracranial blood vessels;

[0040] Among them, the bright blood image group, the black blood image group, and the enhanced black blood image group respectively include K brigh...

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 an intracranial blood vessel focus identification method 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 of an intracranial blood vessel part; carrying out registration on each bright blood image by using a registration method based on mutual information and an image pyramid by taking the corresponding enhanced black blood image as a reference to obtain a registered bright blood image group; using the registered bright blood image group to perform flow empty artifact elimination operation on the enhanced black blood images in the enhanced black blood image group to obtain an artifact-eliminated enhanced black blood image group; subtracting the corresponding images in the artifact elimination enhanced black blood image group from the corresponding images in the black blood image group to obtain K contrast enhanced images; establishing a blood three-dimensional model by using 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 using the registered bright blood image group; the focus area of the intracranial blood vessel can be simply, conveniently, quickly and visually recognized clinically.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for identifying intracranial vascular lesions based on migration learning. Background technique [0002] According to the latest medical data, vascular diseases have seriously affected the life and health of contemporary people and become one of the diseases with a high mortality rate. Such as atherosclerosis, inflammatory vascular disease, vascular true neoplastic disease and so on. The common causes of vascular diseases are narrowing, blockage, rupture, and plaque in blood vessels. At present, methods based on lumen imaging are usually used to evaluate the degree of vascular disease and vascular stenosis clinically, such as digital subtraction angiography (Digital Subtraction Angiography, DSA), CT angiography (Computed Tomography Angiography, CTA), magnetic Resonance angiography (Magnetic Resonance Angiography, MRA) and high-resolution 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
IPC IPC(8): G06T11/00G06T7/00G06T7/13G06T7/136G06T7/33G06T5/30G06T17/00G16H30/20G16H30/40G06N3/04G06N3/08
CPCG06T17/00G06T5/30G16H30/20G06N3/04G06T7/00G06T7/33G16H30/40G06T7/13G06N3/08G06T11/00G06T7/136
Inventor 贾艳楠王文杰
Owner XIAN CREATION KEJI CO LTD
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