Paper: | TH-PM-PS2.5 |
Session: | Diffusion Tensor Imaging |
Time: | Thursday, April 6, 15:20 - 16:40 |
Presentation: |
Poster
|
Title: |
Von Mises-Fisher Mixture Model of the Diffusion ODF |
Authors: |
Tim McGraw; West Virginia University | | |
| Baba C. Vemuri; University of Florida | | |
| Bob Yezierski; University of Florida | | |
| Thomas H. Mareci; University of Florida | | |
Abstract: |
High angular resolution diffusion imaging (HARDI) permits the computation of water molecule displacement probabilities over the sphere. This probability is often referred to as the orientation distribution function (ODF). In this paper we describe a novel model for the diffusion ODF : a mixture of von Mises-Fisher (vMF) distributions. Our model is compact in that it requires very few variables to model complicated ODF geometries which occur specifically in the presence of heterogeneous nerve fiber orientation. We will present a Riemannian geometric framework for computing intrinsic distances, in closed-form, and performing interpolation between ODFs represented by vMF mixtures. We also present closed-form equations for entropy and variance based anisotropy measures. |