Abstract
Objective Quantitative analysis of MR images is becoming increasingly important in assessing the progression of multiple sclerosis (MS) and in monitoring the effect of a drug therapy. In clinical trials, manual analysis of the MR images by human experts is prohibitively time-consuming because of the large amounts of data typically involved. The interand mtra-observer variability associated with manual delineations. and the unclear decision making process when multi-spectral MR data are presented to a human expert. further complicate matters. The goal of our work is to develop a fast, fully-automated method for MS lesion segmentation that analysis multi-spectral MR data in an objective and reproducible way.
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