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

Dynamic contrast enhancement magnetic resonance image detection method

A kind of nuclear magnetic resonance image, dynamic contrast technology, applied in image analysis, image data processing, instrument and other directions, can solve the problem of difficult to simulate local deformation and so on

Inactive Publication Date: 2014-01-15
NANJING UNIV OF INFORMATION SCI & TECH
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Thin plate spline is a spline registration method that is widely used at present, but its disadvantage is that it is difficult to simulate local deformation because the control points have a global influence on the transformation.

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
  • Dynamic contrast enhancement magnetic resonance image detection method
  • Dynamic contrast enhancement magnetic resonance image detection method
  • Dynamic contrast enhancement magnetic resonance image detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings:

[0049] like figure 1 As shown, it is a schematic flowchart of the dynamic contrast-enhanced nuclear magnetic resonance image detection method of the present invention. It includes the following steps: inputting the image to be registered and the reference image, through downsampling to obtain the first sampling image, the image pixel of this layer is the lowest, and then performing the first interpolation calculation of the B-spline method on the sampled image to obtain a new image, And calculate the corresponding RC value and judge whether it reaches the maximum value, if not, continue to obtain a new image T through B-spline interpolation, calculate a new round of RC value, and judge again whether the RC value reaches the maximum value. In this way, loop until the RC reaches the optimal solution, output the registration optimization par...

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 dynamic contrast enhancement magnetic resonance image detection method, by which non-rigid registration measured based on complexity and similarity of a residual is applied to detection of a magnetic resonance image. The dynamic contrast enhancement magnetic resonance image detection method comprises the following steps: preprocessing an image, performing image interpolation by a B-spline function method, calculating the measuring similarity, setting circulating iteration of a threshold, and working out a difference image as a relatively precise image area display image. The invention as MRI contrast dynamic study, and a conventional pixel intensity values based on a similar approach as compared to the non-rigid registration, under the same experimental conditions, with more accurate registration of the resulting image. In the dynamic contrast enhancement magnetic resonance image detection method, a dynamic contrast magnetic resonance image is taken as a study object; and compared with the conventional non-rigid registration method based on similar intensity values of pixels, the dynamic contrast enhancement magnetic resonance image detection method has the advantage that a image registration result is more accurate under the same experimental condition.

Description

technical field [0001] The invention relates to the technical field of image information processing, in particular to a dynamic contrast enhancement nuclear magnetic resonance image detection method. Background technique [0002] Image registration is an important technology in medical image analysis. It is an important way to obtain more accurate information in medical images and is of great significance in clinical diagnosis and treatment. The goal of image registration is to determine the spatial transformation or mapping of the corresponding position of one or more images to be registered to the corresponding position in a reference image, so that the corresponding points on the image to be registered and the reference image are spatially consistent. . According to the imaging mode of the image, radiological medical images can be roughly divided into two categories: the first category is anatomical structure images (such as computed tomography (CT), magnetic resonance i...

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
Inventor 徐军张飞云王冠皓
Owner NANJING UNIV OF INFORMATION SCI & TECH
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