Longitudinal Multiple Sclerosis Lesion Segmentation Data Resource

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

Data in brief（2017）

Cited 251|Views121

Abstract

The data presented in this article is related to the research article entitled "Longitudinal multiple sclerosis lesion segmentation: Resource and challenge" (Carass et al., 2017) [1]. In conjunction with the 2015 International Symposium on Biomedical Imaging, we organized a longitudinal multiple sclerosis (MS) lesion segmentation challenge providing 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 download. 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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Key words

Magnetic resonance imaging,Multiple sclerosis

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