Longitudinal Multiple Sclerosis Lesion Segmentation Data Resource

Publication date: Available online 8 April 2017
Source:Data in Brief
Author(s): Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L. Cuzzocreo, Elizabeth Magrath, Adrian Gherman, Julia Button, James Nguyen, Pierre-Louis Bazin, Peter A. Calabresi, Ciprian M. Crainiceanu, Lotta M. Ellingsen, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
The data presented in this article is related to the research article entitled "Lon- gitudinal multiple sclerosis lesion segmentation: Resource and challenge" [1]. In conjunction with the 2015 International Symposium on Biomedical Imaging, we organized a longitudinal multiple sclerosis (MS) lesion segmentation challenge pro- viding training and test data to registered participants. The training data consists of five subjects with a mean of 4.4 (± 0.55) time-points, and test data of fourteen subjects with a mean of 4.4 (± 0.67) time-points. All 82 data sets had the white matter lesions associated with multiple sclerosis delineated by two human expert raters. The training data including multi-modal scans and manually delineated lesion masks is available for download¹1 The data and evaluation website is: http://ift.tt/2k6vIu7. In addition, the testing data is also being made available in conjunction with a website for evaluating the automated analysis of the testing data.



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