DocumentCode
3504524
Title
Surface-based method to evaluate global brain shape asymmetries in human and chimpanzee brains
Author
Fournier, Marc ; Combès, Benoît ; Roberts, Neil ; Keller, Simon ; Crow, Tim J. ; Hopkins, William D. ; Prima, Sylvain
Author_Institution
INSERM, IRISA-INRIA VisAGeS Project-Team, Rennes, France
fYear
2011
fDate
March 30 2011-April 2 2011
Firstpage
310
Lastpage
316
Abstract
In this paper we use humans and chimpanzees brain MRI databases to develop methods for evaluating global brain asymmetries. We perform brain segmentation and hemispheric surface extraction on both populations. The human brain segmentation pipeline is adapted to chimpanzees in order to obtain results of good quality. To alleviate the problems due to cortical variability we propose a mesh processing algorithm to compute the brain global shape. Surface-based global brain asymmetries are computed on chimpanzee and human subjects using individual mid-sagittal plane evaluation and population-level mean shape estimation. Asymmetry results are presented in terms of axis-wise components in order to perform more specific evaluation and comparison between the two populations.
Keywords
biomedical MRI; brain; feature extraction; image segmentation; medical image processing; mesh generation; neurophysiology; pipeline arithmetic; MRI databases; axis-wise components; brain global shape; brain segmentation pipeline; chimpanzee brains; cortical variability; global brain shape asymmetries; hemispheric surface extraction; mesh processing algorithm; mid-sagittal plane evaluation; population-level mean shape estimation; surface-based method; Brain; Color; Estimation; Humans; Shape; Surface treatment; Torque; Axis-wise asymmetry components; Brain global shape computation; Chimp and human asymmetries comparison; Chimps MRI brain segmentation; Surfaced-based bilateral brain asymmetries;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1945-7928
Print_ISBN
978-1-4244-4127-3
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2011.5872412
Filename
5872412
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