Journal
NEUROIMAGE
Volume 49, Issue 2, Pages 1524-1535Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2009.09.005
Keywords
Lesion segmentation; Multiple sclerosis; Topology; Fuzzy segmentation
Funding
- National Institute of Neurological Disorders and Stroke [R01NS054255, R01NS037747]
- National Institute of Drug Abuse [K25DA025356]
- National Multiple Sclerosis Society [TR3760A3]
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We describe a new fully automatic method for the segmentation of brain images that contain multiple sclerosis white matter lesions. Multichannel magnetic resonance images are used to delineate multiple sclerosis lesions while segmenting the brain into its major structures. The method is an atlas-based segmentation technique employing a topological atlas as well as a statistical atlas. An advantage of this approach is that all segmented structures are topologically constrained, thereby allowing subsequent processing Such as cortical unfolding or diffeomorphic shape analysis techniques. Evaluation with both simulated and real data sets demonstrates that the method has an accuracy competitive with state-of-the-art MS lesion segmentation methods, while simultaneously segmenting the whole brain. (C) 2009 Elsevier Inc. All rights reserved.
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