Center for Imaging Science BIRN Data License Yes Johns Hopkins University NITRC Atlases of amygdala and hippocampus for pediatric populations Timothy Brown The long term goal of Computational Anatomy (CA) is to create algorithmic tools that aid basic and clinical neuroscientists in the analysis of variability in anatomical structures at different scales. The aim is to provide capability for integrating 3D Slicer application and ITK software library with the statistical shape analysis pipeline and thus enable the wider neuroimaging community to efficiently analyze anatomical variations in disease. We have constructed anatomical atlases needed for analysis of shape vectors. These atlases were generated from segmented hippocampal and amygdala structures in acquired populations of children, adolescents and young adults in neuroimaging studies of major depression disorder (MDD) at Washington University at St Louis. As a major public health burden, MDD provides the biological testbed for the pipeline from which probabilistic atlases will be generated. Software and datasets for statistical shape analysis of anatomical structures are thus provided. Atlases of amygdala and hippocampus for pediatric populations MR, BIRN Data License http://www.nitrc.org/projects/jhucis_pedatlas/, http://www.nitrc.org/projects/jhucis_pedatlas/ timothy@cis.jhu.edu