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A Mathematical Framework for incorporating anatomical knowledge in DT-MRI analysis | IEEE Conference Publication | IEEE Xplore

A Mathematical Framework for incorporating anatomical knowledge in DT-MRI analysis


Abstract:

We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectation-maximization (EM) algorithm is used to cluste...Show More

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.
Date of Conference: 14-17 May 2008
Date Added to IEEE Xplore: 13 June 2008
ISBN Information:

ISSN Information:

PubMed ID: 19212449
Conference Location: Paris, France

References

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