A Mathematical Framework for Incorporating Anatomical Knowledge in DT-MRI Analysis.

Citation:

Maddah M, Zöllei L, Grimson EWL, Westin C-F, Wells WM. A Mathematical Framework for Incorporating Anatomical Knowledge in DT-MRI Analysis. Proc IEEE Int Symp Biomed Imaging. 2008;4543943 :105-8. Copy at http://www.tinyurl.com/yyuwbn7y

Date Published:

2008

Abstract:

We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectation-maximization (EM) algorithm is used to cluster the trajectories, in which an atlas serves as the prior on the labels. The atlas guides the clustering algorithm and makes the resulting bundles anatomically meaningful. In addition, it provides the seed points for the tractography and initial settings of the EM algorithm. The proposed approach provides a robust and automated tool for tract-oriented analysis both in a single subject and over a population.

Last updated on 09/28/2016