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

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 inferr...

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Bibliographic Details
Published in2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2008; pp. 1 - 7
Main Authors Maddah, M., Zollei, L., Grimson, W.E.L., Wells, W.M.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 15.07.2008
Subjects
Appropriate technology
Artificial intelligence
Clustering algorithms
Computer science
Diffusion tensor imaging
Hospitals
Laboratories
Surgery
Technology planning
Trajectory
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Summary: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.
ISBN:9781424423392
1424423392
ISSN:2160-7508
DOI:10.1109/CVPRW.2008.4563003