A medical image registration method and system with incompressible organs

A medical image and image registration technology, applied in the field of image processing, can solve the problems of slow registration speed and low registration accuracy, and achieve the effect of improving registration accuracy and speed

Active Publication Date: 2020-11-20
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the defects of low registration accuracy and slow registration speed in the medical image registration process of incompressible organs in the prior art, a medical image registration method and system with incompressible organs is provided

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
  • A medical image registration method and system with incompressible organs
  • A medical image registration method and system with incompressible organs
  • A medical image registration method and system with incompressible organs

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0037] refer to figure 1 , figure 1 A flow chart of a medical image registration method with incompressible organs provided by an embodiment of the present invention, the method includes:

[0038] S1. Receive the fixed image and the image to be registered. After pre-registering the fixed image and the image to be registered according to the deformation field obtained in the previous iteration, calculate and obtain the The first velocity field of this iteration after the image to be registered is registered to the fixed image.

[0039] Wherein, the fixed image and the image to be registered are medical images containing the same incompressible organs.

[0040] Specifica...

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 provides a registration method and system for a medical image with incompressible organs. The method comprises the steps that a fixed image and a to-be-registered image are received, andafter pre-registration is performed on the fixed image and the to-be-registered image, a first velocity field of current iteration after the to-be-registered image is registered to the fixed image isobtained; according to the first velocity field of the current iteration and a velocity field obtained in last iteration, a second velocity field of the current iteration is obtained through calculation based on a BCH formula; the second velocity field of the current iteration is decomposed through Hodges-Helmholtz decomposition, a blending field is magnified through an adaptive weight of the blending field, and the magnified blending field is superposed with a passive field to obtain a velocity field of the current iteration; and the velocity field of the current iteration is subjected to inverse transformation through exponential transformation, and a deformation field of the current iteration is obtained. Through the method, the solved deformation field has incompressible performance and can track the incompressible organs with sliding displacement at high precision, and registration precision and speed are improved.

Description

technical field [0001] The present invention relates to the field of image processing, and more specifically, to a medical image registration method and system with incompressible organs. Background technique [0002] In the field of clinical medicine, the non-rigid registration technology for the same patient can analyze the changes of the same anatomical structure in different periods, and has been widely used in motion analysis, tumor tracking detection, postoperative evaluation of liver ablation surgery, and monitoring the healing status of the surgical area Wait. The clinical application of registration technology needs to consider the specific biological characteristics of human tissues. Due to the high water content in flexible tissues, such tissues can be regarded as incompressible tissues during the deformation process, that is, to maintain their own volume. , for example, when the liver moves up and down with the respiratory movement, their own volumes do not chan...

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 Patents(China)
IPC IPC(8): G06T7/33
CPCG06T7/33G06T2207/30004
Inventor 艾丹妮王涌天梁萍杨健蒋玉蓉丛伟建刘定坤
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap