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  Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

Carass, A., Roy, S., Jog, A., Cuzzocreo, J. L., Magrath, E., Gherman, A., et al. (2017). Longitudinal multiple sclerosis lesion segmentation: Resource and challenge. NeuroImage, 148, 77-102. doi:10.1016/j.neuroimage.2016.12.064.

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 Creators:
Carass, Aaron1, Author
Roy, Snehashis1, Author
Jog, Amod1, Author
Cuzzocreo, Jennifer L.1, Author
Magrath, Elizabeth1, Author
Gherman, Adrian1, Author
Button, Julia1, Author
Nguyen, James1, Author
Prados, Ferran1, Author
Sudre, Carole E.1, Author
Cardoso, Manuel Jorge1, Author
Cawley, Niamh1, Author
Ciccarelli, Olga1, Author
Wheeler-Kingshott, Claudia A.M.1, Author
Ourselin, Sébastien1, Author
Catanese, Laurence1, Author
Deshpande, Hrishikesh1, Author
Maurel, Pierre1, Author
Commowick, Oliver1, Author
Barillot, Christian1, Author
Tomas-Fernandez, Xavier1, AuthorWarfield, Simon K.1, AuthorVaidya, Suthirth1, AuthorChunduru, Abhijith1, AuthorMuthuganapathy, Ramanathan1, AuthorKrishnamurthi, Ganapathy1, AuthorJesson, Andrew1, AuthorArbel, Tal1, AuthorMaier, Oskar1, AuthorHandels, Heinz1, AuthorIheme, Leonardo O.1, AuthorUnay, Devrim1, AuthorJain, Saurabh1, AuthorSima, Diana M.1, AuthorSmeets, Dirk1, AuthorGhafoorian, Mohsen1, AuthorPlatel, Bram1, AuthorBirenbaum, Ariel1, AuthorGreenspan, Hayit1, AuthorBazin, Pierre-Louis2, Author           Calabresi, Pater A.1, AuthorCrainiceanu, Ciprian M.1, AuthorEllingsen, Lotta M.1, AuthorReich, Daniel S.1, AuthorPrince, Jerry L.1, AuthorPham, Dzung L.1, Author more..
Affiliations:
1External Organizations, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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Free keywords: Magnetic resonance imaging; Multiple sclerosi
 Abstract: In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challenge providing training and test data to registered participants. The training data consisted of five subjects with a mean of 4.4 time-points, and test data of fourteen subjects with a mean of 4.4 time-points. All 82 data sets had the white matter lesions associated with multiple sclerosis delineated by two human expert raters. Eleven teams submitted results using state-of-the-art lesion segmentation algorithms to the challenge, with ten teams presenting their results at the conference. We present a quantitative evaluation comparing the consistency of the two raters as well as exploring the performance of the eleven submitted results in addition to three other lesion segmentation algorithms. The challenge presented three unique opportunities: (1) the sharing of a rich data set; (2) collaboration and comparison of the various avenues of research being pursued in the community; and (3) a review and refinement of the evaluation metrics currently in use. We report on the performance of the challenge participants, as well as the construction and evaluation of a consensus delineation. The image data and manual delineations will continue to be available for download, through an evaluation website2 as a resource for future researchers in the area. This data resource provides a platform to compare existing methods in a fair and consistent manner to each other and multiple manual raters.

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Language(s): eng - English
 Dates: 2016-08-192016-12-192017-01-112017-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2016.12.064
Other: Epub 2017
PMID: 28087490
PMC: PMC5344762
 Degree: -

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Title: NeuroImage
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 148 Sequence Number: - Start / End Page: 77 - 102 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166