LONI/SVE Terms of Use NITRC Segmentation Validation Engine OS Independent English The Segmentation Validation Engine (SVE) provides an automated online framework for performing validation studies of skull-stripping methods. Registered users may download 40 T1 MRI volumes, skull-strip them with the algorithm of their choice, and upload their segmentation results to the SVE website. The server will then compare the 40 skull-stripped results against a set of manually generated brain masks. The server computes a series of measures for the uploaded data, including Jaccard and Dice measures. It also produces images for visualizing the spatial location of the segmentation errors relative to a common space. The results are archived on the server, and the measures are viewable by visitors to the site. Details on the methodology can be found in the following paper: Shattuck DW, Prasad G, Mirza M, Narr KL, and Toga AW (in press) Online Resource for Validation of Brain Segmentation Algorithms NeuroImage, e-pub available online Nov. 25, 2008 (doi:10.1016/j.neuroimage.2008.10.066). 2008-11-29 5 - Production/Stable SVE Segmentation Validation Engine DICE Coefficient,Quality Metrics,Tanomoto Coefficient,Web Service,LONI/SVE Terms of Use,English,5 - Production/Stable,Web Environment,OS Independent,NIfTI-1,Developers,End Users,ANALYZE www.nitrc.org/projects/sve/,sve.loni.ucla.edu/