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PMID: 12045000 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S. Validation Study

BrainSuite: an automated cortical surface identification tool.

Medical image analysis ·Vol. 6 ·No. 2 ·2002-06-00 ·Pages 129-42

Shattuck DW, Leahy RM

Abstract

We describe a new magnetic resonance (MR) image analysis tool that produces cortical surface representations with spherical topology from MR images of the human brain. The tool provides a sequence of low-level operations in a single package that can produce accurate brain segmentations in clinical time. The tools include skull and scalp removal, image nonuniformity compensation, voxel-based tissue classification, topological correction, rendering, and editing functions. The collection of tools is designed to require minimal user interaction to produce cortical representations. In this paper we describe the theory of each stage of the cortical surface identification process. We then present classification validation results using real and phantom data. We also present a study of interoperator variability.

MeSH Terms
Algorithms Automation Brain/anatomy & histology Cerebral Cortex/anatomy & histology Computer Simulation Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging/methods Models, Anatomic Models, Neurological Sensitivity and Specificity Software Surface Properties
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Shattuck David W
Signal and Image Processing Institute, Department of Electrical Engineering Systems, University of Southern California, Los Angeles 90089-2564, USA. [email protected]
Leahy Richard M
Article Info
Journal
Medical image analysis
Abbr.
Med Image Anal
ISSN
1361-8415
Published
2002-06-00
Pages
129-42
Language
English
Region
Netherlands
NLM ID
9713490
Subset
IM
Grants
NIMH NIH HHS · R01-MH53213 · United States
NCRR NIH HHS · RR13642 · United States
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