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Segmentation of Progressive Multifocal Leukoencephalopathy Lesions in Fluid‐Attenuated Inversion Recovery Magnetic Resonance Imaging
Author(s) -
Itti Laurent,
Chang Linda,
Ernst Thomas
Publication year - 2001
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/j.1552-6569.2001.tb00071.x
Subject(s) - medicine , reproducibility , magnetic resonance imaging , fluid attenuated inversion recovery , progressive multifocal leukoencephalopathy , nuclear medicine , white matter , segmentation , hyperintensity , leukoencephalopathy , radiology , artificial intelligence , computer science , multiple sclerosis , statistics , mathematics , psychiatry
Background and Purpose . The authors compared the reproducibility of a manual and a semiautomated technique for the quantitation of white‐matter lesions in magnetic resonance imaging (MRI). Methods . Volumes of white‐matter lesions were determined using fluid‐attenuated inversion recovery MRI in 23 AIDS patients with progressive multifocal leukoencephalopathy. Manual outlining was compared to an automated method based on region growing and adaptive thresholding. Results . Lesion volumes from the 2 methods correlated well (61 lesions, r = 0.99, P < 10 −4 ), although the volumes differed substantially (12.8%± 13.7%). Interscan, intrasubject reproducibility was better for the automated than the manual method (2.9%± 3.2% vs 12.4%± 16.2% volume difference, P = .02). Conclusion. The automated algorithm appeared more reproducible, which renders it superior to the manual method for longitudinal studies.