Paper Info
Title
Integrated Image Registration for Cardiac MR Perfusion Data
Abstract
In this paper we present an integrated image registration algorithm for segmenting the heart muscle, the myocardium (MC). A sequence of magnetic resonance (MR) images of heart are acquired after injection of a contrast agent. An analysis of the perfusion of the contrast agent into myocardium is utilized to study its viability. Such a study requires segmentation of MC in each of the images acquired which is a difficult task due to rapidly changing contrast image the images. In this paper we present an information theoretic registration framework which integrates two channels of information, the pixel intensities and the local gradient information, to reliably and accurately segment the myocardium. In our framework, the physician hand draws contours representing the inner (the endocardium) and the outer (the epicardium) boundaries of the myocardium. These hand drawn contours are then propagated to the other images in the sequence of images acquired to segment the MC.
Year
DOI
Venue
2002
10.1007/3-540-45786-0_81
MICCAI
Keywords
Field
DocType
cardiac mr perfusion data,information theoretic registration framework,contrast agent,integrated image registration,contrast image,pixel intensity,physician hand,difficult task,local gradient information,magnetic resonance,integrated image registration algorithm,heart muscle,image registration
Computer vision,Pattern recognition,Segmentation,Computer science,Artificial intelligence,Pixel,Mutual information,Joint entropy,Endocardium,Image registration,Perfusion,Magnetic resonance imaging
Conference
Volume
ISSN
ISBN
2488
0302-9743
3-540-44224-3
Citations 
PageRank 
References 
7
0.83
6
Authors
2
Name
Order
Citations
PageRank
Ravi Bansal121820.86
Gareth Funka-Lea2138363.84