Longitudinal multiple sclerosis lesion segmentation data resource

Aaron Carass^{1

2}, Snehashis Roy³, Amod Jog², Jennifer L Cuzzocreo⁴, Elizabeth Magrath³, Adrian Gherman⁵, Julia Button⁴, James Nguyen⁴, Pierre-Louis Bazin⁶, Peter A Calabresi⁴, Ciprian M Crainiceanu⁵, Lotta M Ellingsen^{1

7}, Daniel S Reich^{4

8}, Jerry L Prince^{1

2}, Dzung L Pham³

Affiliations

¹ Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
² Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA.
³ CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA.
⁴ Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
⁵ Department of Biostatistics, The Johns Hopkins University, Baltimore, MD 21205, USA.
⁶ Department of Neurophysics, Max Planck Institute, 04103 Leipzig, Germany.
⁷ Department of Electrical and Computer Engineering, University of Iceland, 107 Reykjavík, Iceland.
⁸ Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20892, USA.

PMID: 28491937
PMCID: PMC5412004
DOI: 10.1016/j.dib.2017.04.004

Longitudinal multiple sclerosis lesion segmentation data resource

Aaron Carass et al. Data Brief. 2017.

. 2017 Apr 8:12:346-350.

doi: 10.1016/j.dib.2017.04.004. eCollection 2017 Jun.

Authors

Affiliations

¹ Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
² Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA.
³ CNRM, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20892, USA.
⁴ Department of Radiology, The Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
⁵ Department of Biostatistics, The Johns Hopkins University, Baltimore, MD 21205, USA.
⁶ Department of Neurophysics, Max Planck Institute, 04103 Leipzig, Germany.
⁷ Department of Electrical and Computer Engineering, University of Iceland, 107 Reykjavík, Iceland.
⁸ Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20892, USA.

PMID: 28491937
PMCID: PMC5412004
DOI: 10.1016/j.dib.2017.04.004

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.

Keywords: Magnetic resonance imaging; Multiple sclerosis.

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Figures

Fig. 1: — **Fig. 1**
Shown are the preprocessed (a) MPRAGE, (b) FLAIR, (c) T₂-w, and (d) PD-w images for a single time-point from one of the provided Training Set subjects. The corresponding manual delineations by our two raters are shown in (e) for Rater #1 and (f) for Rater #2.

See this image and copyright information in PMC

References

1. Carass A., Roy S., Jog A., Cuzzocreo J.L., Magrath E., Gherman A., But- ton J., Nguyen J., Prados F., Sudre C.H., Cawley N., Cardoso M.J., Cic- carelli O., Wheeler-Kingshott C.A.M., Catanese L., Ourselin S., Deshpande H., Maurel P., Commowick O., Barillot C., Tomas-Fernandez X., Vaidya S.K. Warfield, Muthuganapathy R., Chunduru A., Krishnamurthi G., Arbel A. Jesson, Handels H., Maier O., Iheme L.O., Unay D., Jain S., Sima D.M., Ghafoorian M., Smeets D., Platel B., Birenbaum A., Greenspan H., Cal- abresi P.A., Bazin P.-L., Crainiceanu C., Ellingsen L.M., Reich D.S., Prince J.L., Pham D.L. Longitudinal multiple sclerosis lesion segmentation: resource & challenge. NeuroImage. 2017, 148(c), 2017:77–102. - PMC - PubMed
1. Tustison N.J., Avants B.B., Cook P.A., Zheng Y., Egan A., Yushkevich P.A., Gee J.C. N4ITK: improved N3 bias correction. IEEE Trans. Med. Imag. 2010;29(6):1310–1320. - PMC - PubMed
1. A. Carass, M.B. Wheeler, J. Cuzzocreo, P.-L. Bazin, S.S. Bassett, J.L. Prince, A joint registration and segmentation approach to skull stripping, in: Proceedings of the 4th International Symposium on Biomedical Imaging, ISBI 2007, IEEE, 2007, pp. 656–659.
1. Carass A., Cuzzocreo J., Wheeler M.B., Bazin P.-L., Resnick S.M., Prince. J.L. Simple paradigm for extra-cerebral tissue removal: algorithm and analysis. NeuroImage. 2010;56(4):1982–1992. - PMC - PubMed
1. Shiee N., Bazin P.-L., Cuzzocreo J.L., Ye C., Kishore B., Carass A., Calabresi P.A., Reich D.S., Prince J.L., Pham D.L. Reconstruction of the human cerebral cortex robust to white matter lesions: method and validation. Hum. Brain Mapp. 2014;35(7):3385–3401. - PMC - PubMed

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Longitudinal multiple sclerosis lesion segmentation data resource

Affiliations

Longitudinal multiple sclerosis lesion segmentation data resource

Authors

Affiliations

Abstract

Figures

References

Grants and funding

LinkOut - more resources

Full Text Sources

Other Literature Sources