Accuracy and reproducibility of manual and semiautomated quantification of MS lesions by MRI

• Published in: Journal of magnetic resonance imaging Vol. 17; no. 3; pp. 300 - 308
• Main Authors: Ashton, Edward A., Takahashi, Chihiro, Berg, Michel J., Goodman, Andrew, Totterman, Saara, Ekholm, Sven
• Format: Journal Article
• Language: English
• Published: New York Wiley Subscription Services, Inc., A Wiley Company 01.03.2003
• Subjects: Algorithms; Brain - pathology; Brain Neoplasms - pathology; Humans; Image Processing, Computer-Assisted - methods; Image Processing, Computer-Assisted - statistics & numerical data; lesion quantification; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging - statistics & numerical data; multiple sclerosis; Multiple Sclerosis - pathology; multispectral MRI; Observer Variation; Phantoms, Imaging; reproducibility; Reproducibility of Results; Time Factors; volume measurement
• ISSN: 1053-1807; 1522-2586
• DOI: 10.1002/jmri.10258

Purpose To evaluate the accuracy, reproducibility, and speed of two semiautomated methods for quantifying total white matter lesion burden in multiple sclerosis (MS) patients with respect to manual tracing and to other methods presented in recent literature. Materials and Methods Two methods involving the use of MRI for semiautomated quantification of total lesion burden in MS patients were examined. The first method, geometrically constrained region growth (GEORG), requires user specification of lesion location. The second technique, directed multispectral segmentation (DMSS), requires only the location of a single exemplar lesion. Test data sets included both clinical MS data and MS brain phantoms. Results The mean processing times were 60 minutes for manual tracing, 10 minutes for region growth, and 3 minutes for directed segmentation. Intra‐ and interoperator coefficients of variation (CVs) were 5.1% and 16.5% for manual tracing, 1.4% and 2.3% for region growth, and 1.5% and 5.2% for directed segmentation. The average deviations from manual tracing were 9% for region growth and 5.7% for directed segmentation. Conclusion Both semiautomated methods were shown to have a significant advantage over manual tracing in terms of speed and precision. The accuracy of both methods was acceptable, given the high variability of the manual results. J. Magn. Reson. Imaging 2003;17:300–308. © 2003 Wiley‐Liss, Inc.