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

Liver multi-phase CT image fusion method

A technology of CT image and fusion method, applied in the field of medical image fusion, to achieve the effect of increasing registration speed, improving registration accuracy, and improving accuracy

Inactive Publication Date: 2015-08-12
XIAMEN UNIV
View PDF6 Cites 52 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the characteristics of liver CT images, the present invention combines the image segmentation and image registration process into the image fusion process, thereby greatly improving the fusion accuracy

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
  • Liver multi-phase CT image fusion method
  • Liver multi-phase CT image fusion method
  • Liver multi-phase CT image fusion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0077] like figure 1 Shown: a liver multi-phase phase CT image fusion method, comprising the following steps:

[0078] Step 1, input arterial phase image sequence A and venous phase image sequence B;

[0079] 1a) storing the arterial phase image sequence A and the venous phase image sequence B to be fused into the hard disk of the computer respectively;

[0080] 1b) Respectively read the arterial phase image sequence A and the venous phase image sequence B to be fused stored in the hard disk space of the computer in step 1a).

[0081] Step 2, use the multi-resolution CT image registration method based on the joint histogram to perform rough registration, and for each CT image in the arterial phase image sequence A, find the CT image with the same spatial position in the venous phase image sequence B. Speci...

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 liver multi-phase CT image fusion method which comprises the steps of firstly performing coarse registering on a source image sequence according to a multi-resolution CT image registering method based on a combined histogram, then realizing automatic liver image dividing according to a region growing algorithm in combination with confidence connection and liver image dividing based on a gradient vector flow snake model, and effectively extracting the edge information of the liver; performing blood vessel extraction based on a directional region growing algorithm on the liver image, performing free deformation transformation based on a B spline and liver non-rigid registering based on space weighting mutual information on a liver essential image, thereby accurately finding an image pair at a same position of a space; and finally performing image fusion based on wavelet transformation. The liver multi-phase CT image fusion method aims at the characteristics of a liver CT image. An image separation process and an image registering process are combined with the image fusion process, thereby greatly improving fusion precision.

Description

technical field [0001] The invention relates to the technical field of medical image fusion, in particular to a liver multiphase CT image fusion method. Background technique [0002] Image fusion refers to the image processing of image data about the same target collected from multiple sources or multiple times, extracting the respective beneficial information to the maximum extent, and finally synthesizing them into high-quality images, which is conducive to subsequent analysis. In the field of medical image processing, in order to obtain a more comprehensive, clearer, and more distinctive image of a certain part of the human body, image fusion is often used to improve image quality. This technology analyzes several groups of images together, synthesizes images with different details into an image with complete details, and keeps the details similar to the original image, so as to provide assistance for subsequent medical diagnosis. When performing image fusion, the images...

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): G06T3/00G06T3/40G06T7/00G06T5/50
CPCG06T3/4007G06T5/50G06T7/11G06T2207/30056G06T3/14
Inventor 黄晓阳王博亮周斌
Owner XIAMEN 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