DocumentCode
773205
Title
Retrospective evaluation of intersubject brain registration
Author
Hellier, P. ; Barillot, C. ; Corouge, I. ; Gibaud, B. ; Le Goualher, G. ; Collins, D.L. ; Evans, A. ; Malandain, G. ; Ayache, N. ; Christensen, G.E. ; Johnson, H.J.
Author_Institution
CNRS, IRISA/INRIA, Rennes, France
Volume
22
Issue
9
fYear
2003
Firstpage
1120
Lastpage
1130
Abstract
Although numerous methods to register brains of different individuals have been proposed, no work has been done, as far as we know, to evaluate and objectively compare the performances of different nonrigid (or elastic) registration methods on the same database of subjects. In this paper, we propose an evaluation framework, based on global and local measures of the relevance of the registration. We have chosen to focus more particularly on the matching of cortical areas, since intersubject registration methods are dedicated to anatomical and functional normalization, and also because other groups have shown the relevance of such registration methods for deep brain structures. Experiments were conducted using 6 methods on a database of 18 subjects. The global measures used show that the quality of the registration is directly related to the transformation´s degrees of freedom. More surprisingly, local measures based on the matching of cortical sulci did not show significant differences between rigid and non rigid methods.
Keywords
biomedical MRI; brain; image matching; image registration; medical image processing; atlas matching; cortical areas matching; cortical sulci; deep brain structures; evaluation framework; functional normalization; intersubject registration methods; neuroanatomy; nonrigid registration; registration quality; Brain; Cities and towns; Councils; Data mining; Databases; Geographic Information Systems; Helium; Magnetic resonance imaging; Performance evaluation; Photometry; Adult; Brain; Cerebral Cortex; Databases, Factual; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Male; Pattern Recognition, Automated; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Single-Blind Method; Subtraction Technique;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2003.816961
Filename
1225846
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