Technical Program

Paper Detail

Paper:	FR-AM-OS2.5
Session:	Image Segmentation and Shape Analysis
Time:	Friday, April 7, 11:10 - 11:30
Presentation:	Oral
Title:	Mapping Ventricular Changes Related to Dementia and Mild Cognitive Impairment in a Large Community-Based Cohort
Authors:	Owen Carmichael; University of California, Davis
	Paul M. Thompson; University of California, Los Angeles
	Rebecca A. Dutton; University of California, Los Angeles
	Allen Lu; University of California, Los Angeles
	Sharon Lee; University of California, Los Angeles
	Jessica Lee; University of California, Los Angeles
	Lewis Kuller; University of Pittsburgh
	Oscar Lopez; University of Pittsburgh
	Howard Aizenstein; Psychiatry Department, University of Pittsburgh
	Carolyn Cidis Meltzer; Emory University / University of Pittsburgh
	Yanxi Liu; Carnegie Mellon University / University of Pittsburgh
	Arthur W. Toga; University of California, Los Angeles
	James Becker; University of Pittsburgh
Abstract:	We present a fully-automated technique for visualizing localized cerebral ventricle shape differences between large clinical subject groups who have received a magnetic resonance (MR) image scan. The technique combines a robust, automated technique for ventricular segmentation with a 3D surface-based radial thickness mapping approach that allows spatially-localized statistical tests of relative shape differences between clinical groups. The technique is used to analyze localized ventricular expansion in Alzheimer's Disease (AD) and mild cognitive impairment (MCI) in a large cohort of community-dwelling elderly individuals (N=339). The resulting maps are the first to chart localized ventricular dilation in a cohort of this size. Besides showing patterns of ventricular expansion that may be consistent with the spatial progression of AD-related pathology, the maps reveal new information about localized ventricular atrophy that may have been overlooked to date. A detailed understanding of spatial atrophy patterns may be useful for early disease detection or for patient monitoring in drug trials.

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