Title: Automated segmentation of MS lesions from multi-channel MR images
Authors: Van Leemput, Koen ×
Maes, Frederik
Bello, F
Vandermeulen, Dirk
Colchester, A
Suetens, Paul #
Issue Date: 1999
Publisher: Springer
Series Title: Lecture notes in computer science vol:1679 pages:11-20
Conference: Medical image computing and computer-assisted intervention - MICCAI'99 location:Cambridge, UK date:September 19-22, 1999
Abstract: Quantitative analysis of MR images is becoming increasingly important as a surrogate marker in clinical trials in multiple sclerosis (MS). This paper describes a fully automated model-based method for segmentation of MS lesions from multi-channel MR images. The method simultaneously corrects for MR field inhomogeneities, estimates tissue class distribution parameters and classifies the image voxels. MS lesions are detected as voxels that are not well explained by the model. The results of the automated method are compared with the lesions delineated by human experts, showing a significant total lesion load correlation and an average overall spatial correspondence similar to that between the experts.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

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