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

doi:10.1016/j.dib.2017.04.004

Data in Brief (Jun 2017)

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

Affiliations

Aaron Carass: Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
Snehashis Roy: CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA
Amod Jog: Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA
Jennifer L. Cuzzocreo: Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
Elizabeth Magrath: CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA
Adrian Gherman: Department of Biostatistics, The Johns Hopkins University, Baltimore, MD 21205, USA
Julia Button: Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
James Nguyen: Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
Pierre-Louis Bazin: Department of Neurophysics, Max Planck Institute, 04103 Leipzig, Germany
Peter A. Calabresi: Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
Ciprian M. Crainiceanu: Department of Biostatistics, The Johns Hopkins University, Baltimore, MD 21205, USA
Lotta M. Ellingsen: Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
Daniel S. Reich: Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
Jerry L. Prince: Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
Dzung L. Pham: CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA

DOI: https://doi.org/10.1016/j.dib.2017.04.004
Journal volume & issue: Vol. 12, no. C
pp. 346 – 350

Abstract

Read online

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.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

About the journal

Abstract

Keywords