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Proceedings Paper

Classification and analysis of multiple sclerosis lesions in spin-echo MR exams
Author(s): Ross Mitchell; Stephen J. Karlik; Donald H. Lee; Aaron Fenster
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Paper Abstract

The high resolution and excellent soft tissue contrast of Magnetic Resonance Imaging (MRI) have enabled direct, non- invasive visualization of Multiple Sclerosis (MS) lesions in vivo. This has allowed quantification of changes in the appearance of lesions in MR exams to be used as a measure of disease state. Nevertheless, accurate quantification techniques are subject to inter- and intra-operator variability, which may hinder monitoring of disease progression. We have developed a computer program to aid an experienced operator in the quantification of MS lesions in spin-echo MR exams. Assisted and manual quantification were used to study inter-operator and intra-operator variability under known conditions in exams of a test phantom, and under clinical conditions in 1.5T and 0.5T exams of an MS patient. Results of the phantom study show that accuracy was improved by assisted quantification. The patient exam results indicate that assisted quantification reduced both inter-operator and intra-operator variability, while quantification in 0.5T exams reduced the variability of manual quantification, but had no significant effect upon assisted quantification. Application of assisted quantification to the analysis and visualization of two large periventricular lesions reveals subtle changes over time in the internal composition of these apparently static lesions.

Paper Details

Date Published: 9 September 1994
PDF: 11 pages
Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185197
Show Author Affiliations
Ross Mitchell, Univ. of Western Ontario/London and John P. Robarts Research Institute (Canada)
Stephen J. Karlik, Univ. of Western Ontario/London and John P. Robarts Research Institute (Canada)
Donald H. Lee, Univ. of Western Ontario/London and John P. Robarts Research Institute (Canada)
Aaron Fenster, Univ. of Western Ontario/London and John P. Robarts Research Institute (Canada)


Published in SPIE Proceedings Vol. 2359:
Visualization in Biomedical Computing 1994
Richard A. Robb, Editor(s)

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