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Proceedings Paper

Model-based 3-D segmentation of multiple sclerosis lesions in dual-echo MRI data
Author(s): Micheline Kamber; D. Louis Collins; Rajjan Shinghal; G. S. Francis; Alan C. Evans
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Paper Abstract

This paper describes the development and use of a brain tissue probability model for the segmentation of multiple sclerosis lesions in magnetic resonance (MR) images of the human brain. Based on MR data obtained from a group of healthy volunteers, the model was constructed to provide prior probabilities of grey matter, white matter, ventricular cerebrospinal fluid (CSF), and external CSF distribution per unit voxel in a standardized 3- dimensional `brain space.' In comparison to purely data-driven segmentation, the use of the model to guide the segmentation of multiple sclerosis lesions reduced the volume of false positive lesions by 50%.

Paper Details

Date Published: 22 September 1992
PDF: 11 pages
Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); doi: 10.1117/12.131112
Show Author Affiliations
Micheline Kamber, McGill Univ. (Canada)
D. Louis Collins, McGill Univ. (Canada)
Rajjan Shinghal, Concordia Univ. (Canada)
G. S. Francis, McGill Univ. (Canada)
Alan C. Evans, McGill Univ. (Canada)

Published in SPIE Proceedings Vol. 1808:
Visualization in Biomedical Computing '92
Richard A. Robb, Editor(s)

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