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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-7
Arnaldo Mayer , Department of Biomedical Engineering, Tel-Aviv University, Israel 69978
Gali Zimmerman-Moreno , Department of Biomedical Engineering, Tel-Aviv University, Israel 69978
ABSTRACT
A method is proposed for modeling and classification of White Matter fiber tracts in the brain. The presented scheme uses Classification Trees in conjunction with spatial representation of the individual fibers, in order to capture the characteristic behavior of fibers belonging to a specific anatomical structure. The method is characterized by high classification speed, under 3 seconds for all the fibers in a typical DTI of a brain. The model has the ability to represent complex geometric structures and has an intuitive interpretation. Encouraging results are demonstrated for tract classification on real data from ten different subjects.
CITATION
Arnaldo Mayer, Gali Zimmerman-Moreno, "Classification trees for fast segmentation of DTI brain fiber tracts", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-7, doi:10.1109/CVPRW.2008.4562998
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