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

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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.1 In addition, the testing data is also being made available in conjunction with a website for evaluating the automated analysis of the testing data.

Original languageEnglish (US)
Pages (from-to)346-350
Number of pages5
JournalData in Brief
StatePublished - Jun 1 2017


  • Magnetic resonance imaging
  • Multiple sclerosis

ASJC Scopus subject areas

  • General


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