Journal
NEUROIMAGE
Volume 29, Issue 3, Pages 838-852Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2005.08.061
Keywords
cerebral cortex; magnetic resonance; T1-weighted MR brain images; cortical reconstruction; human brain mapping; accuracy analysis; precision analysis; ANOVA; MANOVA
Funding
- NINDS NIH HHS [R01 NS037747, R01NS37747] Funding Source: Medline
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Two different studies were conducted to assess the accuracy and precision of an algorithm developed for automatic reconstruction of the cerebral cortex from T1-weighted magnetic resonance (MR) brain images. Repeated scans of three different brains were used to quantify the precision of the algorithm, and manually selected landmarks on different sulcal regions throughout the cortex were used to analyze the accuracy of the three reconstructed surfaces: inner, central, and pial. We conclude that the algorithm can find these surfaces in a robust fashion and with subvoxel accuracy, typically with an accuracy of one third of a voxel, although this varies with brain region and cortical geometry. Parameters were adjusted on the basis of this analysis in order to improve the algorithm's overall performance. (c) 2005 Elsevier Inc. All rights reserved.
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