Segmentation of Cortical MS Lesions on MRI Using Automated Laminar Profile Shape Analysis
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.
KeywordsMultiple Sclerosis Myelin Basic Protein Cortical Lesion Magnetization Transfer Ratio Multiple Sclerosis Pathology
- 1.Bo, L., Vedeler, C.A., Nyland, H.I., Trapp, B.D., Mork, S.J.: Subpial demyelination in the cerebral cortex of multiple sclerosis patients. J. Neuropathol. Exp. Neurol. 62(7), 723–732 (2003)Google Scholar
- 4.Eskildsen, S.F., Ostergaard, L.R.: Active surface approach for extraction of the human cerebral cortex from MRI. In: Int. Conf. Med. Image Comput. Assist. Interv., vol. 9(Pt. 2), pp. 823–830 (2006)Google Scholar
- 8.Schleicher, A., Morosan, P., Amunts, K., Zilles, K.: Quantitative architectural analysis: A new approach to cortical mapping. J. Autism Dev. Disord. (2009)Google Scholar