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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Vydané v:	NeuroImage (Orlando, Fla.) Ročník 27; číslo 1; s. 210 - 221
Hlavní autori:	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.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.08.2005 Elsevier Limited
Predmet:	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
On-line prístup:	Získať plný text
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