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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 - #305234
Title: Nonparametric Smoothing and Classification of High Angular Resolution Diffusion Imaging Data
Author(s): John D. Carew*+
Companies: Emory University
Address: Department of Biostatistics, Atlanta, GA, 30322,
Keywords: Magnetic Resonance Imaging ; Diffusion ; White Matter ; Nonparametric Function Estimation ; Splines on the Sphere ; K-means
Abstract:

High angular resolution diffusion imaging (HARDI) data are acquired to reveal information about the structure of white matter in situations where the diffusion tensor model is inappropriate such as when white matter tracts cross. We use smoothing splines on the sphere to model HARDI data and show an improvement in mean square error for estimating the white matter fiber orientation distribution function. A scale and rotation invariant K-means clustering algorithm is defined to spatially classify the white matter orientation functions by their shape.

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