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

Medical image registering method by means of improved NNDR strategy

A medical image and registration technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of small feature point range, reduction, affecting the registration accuracy and registration image effect, etc., to increase the number of feature points , improve accuracy, improve the effect of accuracy

Active Publication Date: 2018-03-27
山东新九安数字技术有限公司
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to make up for the deficiencies of the existing technology, the range of feature points considered in the medical image registration in the prior art is small, and other correctly matched feature points are ignored, resulting in a reduction in the number of correctly matched feature points, which affects the registration accuracy and The problem of registration image effect, the present invention provides a kind of medical image registration method utilizing improved NNDR strategy

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
  • Medical image registering method by means of improved NNDR strategy
  • Medical image registering method by means of improved NNDR strategy
  • Medical image registering method by means of improved NNDR strategy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] A medical image registration method utilizing an improved NNDR strategy, the specific steps comprising:

[0045] 1) Input two multimodal medical images to be registered, one of which is used as a reference image and the other as a target image;

[0046] 2) Extract feature points and create descriptors;

[0047]The SIFT algorithm is used to extract the feature points in the image to be registered. SIFT establishes the scale space through the Gaussian pyramid, and then uses the Gaussian difference to find the extreme points in the scale space; after removing some unstable points, the final feature points are obtained. In order to make the feature points have rotation invariance, each feature point is given a main direction. In this way, three pieces of information about feature points can be obtained: position, scale, and direction. In this way, a 128-dimensional keypoint descriptor can be generated.

[0048] 3) New descriptor information.

[0049] In the SIFT algorit...

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 medical image registering method by means of an improved NNDR (nearest neighbor distance ratio) strategy, and belongs to the medical image registering field. The medical image registering method by means of the improved NNDR strategy provides an improved matching method INNDR based on NNDR, and increases the point correct matching situation of next nearest neighbor. The medical image registering method by means of the improved NNDR strategy can significantly improve the number of correctly matched characteristic point so as to obtain a better registering effect. The experimental result shows that compared with the original method and other criterions, the medical image registering method by means of the improved NNDR strategy has significant advantages. The medical image registering method by means of the improved NNDR strategy can find more matched pairs and can improve the accuracy of the finally matching. The medical image registering method by means of theimproved NNDR strategy uses the reference image to test the method, and verifies the matching result by means of quantitative evaluation. The experimental result shows that the medical image registering method by means of the improved NNDR strategy has relatively higher accuracy and effectiveness.

Description

technical field [0001] The invention relates to the field of medical image registration, in particular to a medical image registration method utilizing an improved NNDR strategy. Background technique [0002] In the field of medical image processing, with the rapid development of imaging equipment technology, image registration has gradually become an important research direction. Today, computed tomography (CT), magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT), and positron emission tomography (PET) are used to capture images of the internal form and function of the human body. [0003] These images provide effective information in the process of clinical diagnosis and treatment of patients, and bring great help to the entire medical process. However, since different imaging devices have their own characteristics, there are great differences in the image information obtained for the same part. For example, after CT detects the attenuati...

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): G06T7/33
CPCG06T7/33G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/10108G06T2207/30016
Inventor 吕国华颜晗任晓强董祥军
Owner 山东新九安数字技术有限公司
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