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Proceedings Paper

Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection
Author(s): Vandana Mohan; Ganesh Sundaramoorthi; Marek Kubicki; Douglas Terry; Allen Tannenbaum
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Paper Abstract

We propose a novel framework for population analysis of DW-MRI data using the Tubular Surface Model. We focus on the Cingulum Bundle (CB) - a major tract for the Limbic System and the main connection of the Cingulate Gyrus, which has been associated with several aspects of Schizophrenia symptomatology. The Tubular Surface Model represents a tubular surface as a center-line with an associated radius function. It provides a natural way to sample statistics along the length of the fiber bundle and reduces the registration of fiber bundle surfaces to that of 4D curves. We apply our framework to a population of 20 subjects (10 normal, 10 schizophrenic) and obtain excellent results with neural network based classification (90% sensitivity, 95% specificity) as well as unsupervised clustering (k-means). Further, we apply statistical analysis to the feature data and characterize the discrimination ability of local regions of the CB, as a step towards localizing CB regions most relevant to Schizophrenia.

Paper Details

Date Published: 9 March 2010
PDF: 9 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762429 (9 March 2010); doi: 10.1117/12.844297
Show Author Affiliations
Vandana Mohan, Georgia Institute of Technology (United States)
Ganesh Sundaramoorthi, Univ. of California, Los Angeles (United States)
Marek Kubicki, Brigham and Women's Hospital (United States)
Douglas Terry, Brigham and Women's Hospital (United States)
Allen Tannenbaum, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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