Classification and analysis of multiple sclerosis lesions in spin-echo MR exams

Ross Mitchell; Stephen J. Karlik; Donald H. Lee M.D.; Aaron Fenster

doi:10.1117/12.185197

9 September 1994 Classification and analysis of multiple sclerosis lesions in spin-echo MR exams

Ross Mitchell, Stephen J. Karlik, Donald H. Lee M.D., Aaron Fenster

Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185197
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

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.

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Ross Mitchell, Stephen J. Karlik, Donald H. Lee M.D., and Aaron Fenster "Classification and analysis of multiple sclerosis lesions in spin-echo MR exams", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185197

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