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SCHWARZ, D. PROVAZNÍK, I.
Original Title
Low-dimensional Multimodal Deformable Registration of MRI Brain Images in Stereotaxic Space
Type
journal article - other
Language
English
Original Abstract
Deformable image registration is a fundamental technique in computational neuroanatomy. An iterative multilevel block matching technique with the use of several recent inventions is proposed here. A symmetric multimodal similarity measure allows to register subject images to an arbitrary digital brain atlas. Smooth deformations produced by scattered data interpolation based on compactly supported radial basis functions suppress gross inter-subject differences and preserve the localized anatomical variability which may be further studied with selected automated morphometry methods. Four similarity measures are tested in an experiment with image data obtained from the Simulated Brain Database and a quantitative evaluation of the algorithm is presented.
Keywords
image processing, image registration, MRI images, computational neuroanatomy, radial basis functions
Authors
SCHWARZ, D.; PROVAZNÍK, I.
RIV year
2006
Released
1. 9. 2006
Publisher
EuroMise
ISBN
1801-5603
Periodical
European Journal For Biomedical Informatics
Year of study
2
Number
8
State
Czech Republic
Pages from
1
Pages to
10
Pages count
URL
http://www.ejbi.cz/articles/200608/24/1.html
BibTex
@article{BUT43338, author="Daniel {Schwarz} and Valentine {Provazník}", title="Low-dimensional Multimodal Deformable Registration of MRI Brain Images in Stereotaxic Space", journal="European Journal For Biomedical Informatics", year="2006", volume="2", number="8", pages="10", issn="1801-5603", url="http://www.ejbi.cz/articles/200608/24/1.html" }