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Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-8
Shawn Lankton , Georgia Institute of Techology, Atlanta, USA 30322
John Melonakos , Georgia Institute of Techology, Atlanta, USA 30322
James Malcolm , Georgia Institute of Techology, Atlanta, USA 30322
Samuel Dambreville , Georgia Institute of Techology, Atlanta, USA 30322
Allen Tannenbaum , Georgia Institute of Techology, Atlanta, USA 30322
ABSTRACT
We describe a method for segmenting neural fiber bundles in diffusion-weighted magnetic resonance images (DW-MRI). As these bundles traverse the brain to connect regions, their local orientation of diffusion changes drastically, hence a constant global model is inaccurate. We propose a method to compute localized statistics on orientation information and use it to drive a variational active contour segmentation that accurately models the non-homogeneous orientation information present along the bundle. Initialized from a single fiber path, the proposed method proceeds to capture the entire bundle. We demonstrate results using the technique to segment the cingulum bundle and describe several extensions making the technique applicable to a wide range of tissues.
CITATION
Shawn Lankton, John Melonakos, James Malcolm, Samuel Dambreville, Allen Tannenbaum, "Localized statistics for DW-MRI fiber bundle segmentation", 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. 1-8, doi:10.1109/CVPRW.2008.4562999
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