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    Population Analysis of the Cingulum Bundle using the Tubular Surface Model for Schizophrenia Detection

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    2010_SPIE_003.1.pdf (1.103Mb)
    Date
    2010-02-16
    Author
    Mohan, Vandana
    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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    http://hdl.handle.net/1853/32757
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    • Biomedical Imaging Lab (Minerva Research Group) [210]

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