http://loni.ucla.edu/Software/rss.php?package=SVE We provide a set of 40 T1 weighted scans, which were used in the LONI Probabilistic Brain Atlas (LPBA40) project (Shattuck et al., 2008) . These data were initially skull-stripped using BET, and then hand-corrected to fix segmentation errors and remove the cerebellum. The volumes were then labeled with 56 anatomical areas, mostly describing major cortical areas. We then processed the labels and cerebellum masks to produce a whole-brain mask for each volume. These masks allow us to evaluate the results of other segmentation approaches, and we can also assess performance relative to specific areas of the brain. Users can download data from this site, perform segmentation on it, and then upload their results. This server will then compute a series of error metrics and archive the results. For a full description of the metrics used, please see the metrics page. The archive can then be explored to examine the attributes of individual algorithms or the effects of changing parameter settings. Mon, 23 Nov 2009 23:33:32 +0000 5 0