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Published in:
2010 | OriginalPaper | Chapter
Segmentation of Cortical MS Lesions on MRI Using Automated Laminar Profile Shape Analysis
Authors : Christine L. Tardif, D. Louis Collins, Simon F. Eskildsen, John B. Richardson, G. Bruce Pike
Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Publisher: Springer Berlin Heidelberg
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Cortical multiple sclerosis lesions are difficult to detect in magnetic resonance images due to poor contrast with surrounding grey matter, spatial variation in healthy grey matter and partial volume effects. We propose using an observer-independent laminar profile-based parcellation method to detect cortical lesions. Following cortical surface extraction, profiles are extended from the white matter surface to the grey matter surface. The cortex is parcellated according to profile intensity and shape features using a k-means classifier. The method is applied to a high-resolution quantitative magnetic resonance data set from a fixed
post mortem
multiple sclerosis brain, and validated using histology.