Lesion Challenge

Reference: Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Carass A, Roy S, Jog A, Cuzzocreo JL, Magrath E, Gherman A, Button J, Nguyen J, Prados F, Sudre CH, Jorge Cardoso M, Cawley N, Ciccarelli O, Wheeler-Kingshott CA, Ourselin S, Catanese L, Deshpande H, Maurel P, Commowick O, Barillot C, Tomas-Fernandez X, Warfield SK, Vaidya S, Chunduru A, Muthuganapathy R, Krishnamurthi G, Jesson A, Arbel T, Maier O, Handels H, Iheme LO, Unay D, Jain S, Sima DM, Smeets D, Ghafoorian M, Platel B, Birenbaum A, Greenspan H, Bazin PL, Calabresi PA, Crainiceanu CM, Ellingsen LM, Reich DS, Prince JL, Pham DL.
Neuroimage. 2017 Mar 1;148:77-102. doi: 10.1016/j.neuroimage.2016.12.064. Epub 2017 Jan 11. (paper link)

The Longitudinal MS Lesion Segmentation Challenge was conducted at the 2015 International Symposium on Biomedical Imaging in New York, NY, April 16-19. Competing teams applied their automatic lesion segmentation algorithms to MR neuroimaging data acquired at multiple time points from MS patients. Algorithms were evaluated against manual segmentations from multiple raters in terms of their segmentation accuracy and ability to track lesion evolution.

This work was partially supported by funding from the National Institute of Neurological Disorders and Stroke (R01-NS070906) and the National Multiple Sclerosis Society (RG-1507-05243).

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