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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Mahnaz Maddah, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, 02139, USA
Lilla Zollei, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, 02139, USA
W. Eric L. Grimson, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, 02139, USA
William M. Wells, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, 02139, USA
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.
Citation:
Mahnaz Maddah, Lilla Zollei, W. Eric L. Grimson, William M. Wells, "Modeling of anatomical information in clustering of white matter fiber trajectories using Dirichlet distribution," cvprw, pp.1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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