Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification

Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a critical objective for a wide variety of neuroimaging analysis purposes, including visualization, morphometry, and brain mapping. The Anatomic Segmentation using Proximity (ASP) algorithm, previously develope...

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Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 27; no. 1; pp. 210 - 221
Main Authors:	Kim, June Sic, Singh, Vivek, Lee, Jun Ki, Lerch, Jason, Ad-Dab'bagh, Yasser, MacDonald, David, Lee, Jong Min, Kim, Sun I., Evans, Alan C.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.08.2005 Elsevier Limited
Subjects:	Algorithms Automation Brain Brain Mapping Cerebral Cortex - physiology Cerebrospinal Fluid - physiology Classification Cortical surfaces Functional Laterality Humans Image Processing, Computer-Assisted - statistics & numerical data Laplacian map Methods Models, Statistical Partial volume estimation Pediatrics Reproducibility of Results Cortical surfaces Partial volume estimation Laplacian map
ISSN:	1053-8119, 1095-9572
Online Access:	Get full text
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