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Proceedings Paper

Automated quantification of MS lesions in MRI: a validation study
Author(s): Edward A. Ashton; Chihiro Takahashi; Michel J. Berg; Andrew Goodman; Saara Totterman
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Paper Abstract

Two novel methods for automated quantification of total lesion burden in multiple sclerosis patients using multi-spectral magnetic resonance (MR) imaging are examined. The first method, geometrically constrained region growth, requires user specification of lesion location. The second, directed multi-spectral segmentation, requires only the location of a single exemplar lesion. The performances of these methods are compared to manual tracing using three parameters: speed, precision, and accuracy. Both methods are shown to provide significant improvement over manual tracing in terms of processing time, inter- and intra-operator coefficients of variation, and global accuracy using both phantoms and clinical data.

Paper Details

Date Published: 9 May 2002
PDF: 9 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467157
Show Author Affiliations
Edward A. Ashton, Univ. of Rochester Medical Ctr. (United States)
Chihiro Takahashi, Univ. of Rochester Medical Ctr. (United States)
Michel J. Berg, Univ. of Rochester Medical Ctr. (United States)
Andrew Goodman, Univ. of Rochester Medical Ctr. (United States)
Saara Totterman, Univ. of Rochester Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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