Automated quantification of MS lesions in MRI: a validation study

Publisher Website
Google Scholar
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.© (2002) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

This publication has 0 references indexed in Scilit: