Title:
Population Analysis of the Cingulum Bundle using the Tubular Surface Model for Schizophrenia Detection
Population Analysis of the Cingulum Bundle using the Tubular Surface Model for Schizophrenia Detection
Author(s)
Mohan, Vandana
Sundaramoorthi, Ganesh
Kubicki, Marek
Terry, Douglas
Tannenbaum, Allen R.
Sundaramoorthi, Ganesh
Kubicki, Marek
Terry, Douglas
Tannenbaum, Allen R.
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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.
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2010-02-16
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Proceedings