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Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution

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4 Author(s)
Maddah, M. ; Comput. Sci. & Artificial Intell. Lab., Massachusetts Inst. of Technol., Cambridge, MA ; Zollei, L. ; Grimson, W.E.L. ; Wells, W.M.

In this work, we describe a white matter trajectory clustering algorithm that allows for incorporating and appropriately weighting anatomical information. The influence of the anatomical prior reflects confidence in its accuracy and relevance. It can either be defined by the user or it can be inferred automatically. After a detailed description of our novel clustering framework, we demonstrate its properties through a set of preliminary experiments.

Published in:

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Date of Conference:

23-28 June 2008