Abstract #3124

Fast and robust unsupervised identification of MS lesion change using statistical detection of changes (SDC) algorithm

Thanh D Nguyen¹, Shun Zhang¹, Ajay Gupta¹, Susan A Gauthier¹, and Yi Wang¹

¹Weill Cornell Medical College, New York, NY, United States

The objective of this study was to develop a robust automated lesion change detection algorithm for MS. Our preliminary results in 30 patients show that our SDC algorithm achieves much higher sensitivity and specificity (99%/76%) compared to that obtained with off-the-shelf LPA algorithm (76%/27%).

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