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

Non-rigid registration method applied to medical image

A non-rigid registration, medical image technology, applied in the field of non-rigid registration of medical images, can solve the problem of not being able to take into account registration defects at the same time, and achieve the effect of registration

Inactive Publication Date: 2015-09-23
SHANDONG UNIV
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the fact that the classic Active Demons method and its improved method cannot take into account the registration defects of large deformation and small deformation regions in medical images at the same time, the present invention designs a fully automatic registration method applied to medical images

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
  • Non-rigid registration method applied to medical image
  • Non-rigid registration method applied to medical image
  • Non-rigid registration method applied to medical image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] The present invention realizes the registration process of medical images through the following steps in sequence:

[0034] Step 1: Preprocess the two images to be registered to make them consistent in size and type;

[0035] Step 2: select all pixels in the image as Demons points;

[0036] Step 3: Set the basic parameters of the image, including setting the maximum number of iterations to 200, the maximum number of decomposition levels to 3, the initial deformation matrix to zero matrix, setting the value of the equalization coefficient and the balance coefficient, and the two are in each decomposition remain constant in the series, etc.;

[0037] Step 4: Calculate the deformation driving force of the image according to the proposed Demons algorithm to obtain the instantaneous displacement vector. The calculation method is a...

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 non-rigid registration method applied to a medical image, and belongs to the field of image processing. On the basis of a classical Active Demons method, a new deformation driving force calculation method is proposed, so that a deformation degree of an image can be favorably controlled, and the accurate registration of a large-deformation area and a small-deformation area in the image can be both given consideration. In order to further improve the accuracy and the convergence rate of registration, a multiresolution strategy is introduced into a registration process so as to realize registration in a coarse-to-fine way. A great quantity of registration experiments indicates that the medical image can be accurately, quickly and stably registered, and defects in the Active Demons method are overcome.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a non-rigid registration method applied to medical images. Background technique [0002] In order to analyze and understand images, people need to perform image processing to obtain image grayscale, spatial position, texture and other information. Image processing involves a wide range of fields, including image compression, image restoration, image denoising, image segmentation, image registration, image fusion, and 3D visualization. Among them, image registration is the work of obtaining the spatial position information of the image. It uses a certain spatial transformation to align the corresponding structures of the two images to be processed, so as to prepare for further image processing. [0003] According to the image transformation method, image registration methods can be divided into two categories: rigid registration methods and non-rigid registration metho...

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
CPCG06T7/0014G06T7/30
Inventor 董恩清杨佩孙文燕李宇森曹海
Owner SHANDONG 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

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