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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Localized statistics for DW-MRI fiber bundle segmentation
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
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
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, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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