DocumentCode
2203003
Title
Sulcal variability in a computerized brain atlas
Author
Desvignes, Michel ; Royackkers, Nicolas ; Revenu, Marinette
Author_Institution
Caen Univ., France
Volume
2
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
700
Abstract
Computerized sulci atlas includes a mean representation of a standard brain in a standardized coordinate space, such as the Talairach´s grid. In this reference system, differences between sulci at the surface of the brain are due to shape differences of the brain and to intrinsic anatomical differences of sulci. In this paper, four different methods are compared: non-proportional, global linear, local linear (Talairach) and nonlinear methods. From nine brains where sulci are labeled, a model of their mean location and its variability is computed. As expected, the nonlinear method is the most accurate one, with fewer variations than others
Keywords
biomedical NMR; brain models; feature extraction; image matching; image registration; medical image processing; 3D MRI; Talairach´s grid; computerized brain atlas; cortical sulci; global linear method; intrinsic anatomical differences; local linear method; mean location; mean representation; model; nonlinear method; nonproportional method; shape differences; standard brain; standardized coordinate space; sulcal variability; Brain modeling; Gravity; Grid computing; Hospitals; Humans; Magnetic resonance imaging; Positron emission tomography; Shape; Surgery; Volume measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.651935
Filename
651935
Link To Document