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Author Bagci, U. ♦ Li Bai
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Image resolution ♦ Biomedical imaging ♦ Image registration ♦ Medical diagnostic imaging ♦ Collaboration ♦ Image analysis ♦ Standardization ♦ Spline ♦ Spatial resolution ♦ Computer graphics
Abstract Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.
Description Author affiliation: Univ. of Nottingham, Nottingham (Bagci, U.; Li Bai)
ISBN 9780769529967
ISSN 15301834
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-10-07
Publisher Place Brazil
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.31 MB
Page Count 8
Starting Page 305
Ending Page 312


Source: IEEE Xplore Digital Library