DocumentCode :
78776
Title :
Multistructure Large Deformation Diffeomorphic Brain Registration
Author :
Khan, Ab Rouf ; Lei Wang ; Beg, Mirza Faisal
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Volume :
60
Issue :
2
fYear :
2013
fDate :
Feb. 2013
Firstpage :
544
Lastpage :
553
Abstract :
Whole brain MRI registration has many useful applications in group analysis and morphometry, yet accurate registration across different neuropathological groups remains challenging. Structure-specific information, or anatomical guidance, can be used to initialize and constrain registration to improve accuracy and robustness. We describe here a multistructure diffeomorphic registration approach that uses concurrent subcortical and cortical shape matching to guide the overall registration. Validation experiments carried out on openly available datasets demonstrate comparable or improved alignment of subcortical and cortical brain structures over leading brain registration algorithms. We also demonstrate that a group-wise average atlas built with multistructure registration accounts for greater intersubject variability and provides more sensitive tensor-based morphometry measurements.
Keywords :
biomedical MRI; brain; image matching; image registration; medical image processing; neurophysiology; anatomical guidance; brain registration algorithms; concurrent subcortical shape matching; cortical brain structures; cortical shape matching; group analysis; group-wise average atlas; intersubject variability; morphometry; multistructure large deformation diffeomorphic brain registration; neuropathological groups; sensitive tensor-based morphometry measurements; structure-specific information; subcortical brain structures; whole brain MRI registration; Brain; Educational institutions; Image segmentation; Magnetic resonance imaging; Manuals; Smoothing methods; Subspace constraints; Atlases morphometry; MRI; brain registration; diffeomorphisms; Algorithms; Brain; Databases, Factual; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Reproducibility of Results;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2012.2230262
Filename :
6363575
Link To Document :
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