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Proceedings Paper

System for the comprehensive analysis of multiple sclerosis lesion load based on MR imagery
Author(s): Jayaram K. Udupa; Luogang Wei; Yukio Miki; Robert I. Grossman
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Paper Abstract

The system is based on the premise that, in the two related tasks required for object definition, namely object recognition and delineation, human operators usually outperform computer algorithms in recognition and it is vice versa for delineation. In our system, some global recognition help is therefore taken from operators, while delineation is done automatically using fuzzy topological algorithms. The lesion quantification methods for the various protocols differ somewhat but follow this general framework. All objects are extracted as 3D fuzzy connected objects. For combining inter- and intra-protocol longitudinal information, fuzzy object registration algorithms are developed and incorporated into the system. A variety of validation studies have been conducted for all protocols to test inter- and intra-operator variations, repeat scan variations, and accuracy in terms of false positive and false negative volume fractions. They all indicate a value of less than 1.5 percent for these factors. THe operator time taken per 3D study varies between 1-20 minutes.

Paper Details

Date Published: 7 May 1997
PDF: 9 pages
Proc. SPIE 3031, Medical Imaging 1997: Image Display, (7 May 1997); doi: 10.1117/12.273942
Show Author Affiliations
Jayaram K. Udupa, Univ. of Pennsylvania Medical Ctr. (United States)
Luogang Wei, Univ. of Pennsylvania Medical Ctr. (United States)
Yukio Miki, Univ. of Pennsylvania Medical Ctr. (United States)
Robert I. Grossman, Univ. of Pennsylvania Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 3031:
Medical Imaging 1997: Image Display
Yongmin Kim, Editor(s)

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