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This is the preliminary program for the 2009 Joint Statistical Meetings in Washington, DC.

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Activity Number: 356
Type: Topic Contributed
Date/Time: Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #303257
Title: Diffusion Tensor Imaging in the Brain: Overview
Author(s): Lynn E. Eberly*+
Companies: The University of Minnesota
Address: 420 Delaware St SE, MMC 303, Minneapolis, MN, 55455,
Keywords: radiology ; medical imaging
Abstract:

DTI is used in magnetic resonance neuroimaging to non-invasively examine brain microstructure using estimates of the principal diffusion directions of water, captured at each voxel in a 3D map of a brain. Typical DTI analysis decomposes the tensor matrix into several summary statistics, each of which represents a different aspect of water diffusion, and each of which is mapped to a brain template and analyzed separately with standard linear models with either false discovery rate or type I error rate correction. Following a brief introduction to the collection of DTI data, typical approaches will be described and illustrated.


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Revised September, 2008