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Automatic segmentation of white matter lesions in T1-weighted brain MR images
Proceedings IEEE International Symposium on Biomedical Imaging
White matter lesions are common brain abnormalities. In this paper, an automatic method for segmentation of white matter lesions in T1-weighted brain magnetic resonance (MR) images is presented. A patient's T1-weighted MR image is first segmented into the three major tissue types, white matter (WM), gray matter (GM) and cerebral spinal fluid (CSF) solely based on each voxel's intensity. Since WM lesions are typically classified as GM based on their intensity characteristics, the GM class is
doi:10.1109/isbi.2002.1029241
dblp:conf/isbi/YuPSHRD02
fatcat:mpszvo5ar5auncerubhgjzzljm