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.
Christine L.Tardif D.Louis Collins Simon F.Eskildsen John B.Richardson G.Bruce Pike
McConnell Brain Imaging Centre, Montreal Neurological Institute, Canada Dept.of Health Science and Technology, Aalborg University, Denmark Dept.of Neuropathology, Montreal Neurological Institute/Hospital, Canada
国际会议
北京
英文
181–188
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）