Cardiac MRI examinations provide detailed, quantitative data on heart structure and function, and standardized protocols are now routinely used in a number of studies. Comprising cardiac magnetic resonance imaging (MRI) examinations, together with derived functional analyses and associated clinical variables, the Cardiac Atlas Project is developing a database, which will be extendible to allow inclusion of data from a variety of imaging and other sources. The initial goals of this project are to facilitate statistical analysis of regional heart shape and wall motion characteristics, across population groups, via the application of parametric mathematical modeling tools.  Modeling tools and analysis methods developed by the University of Auckland will be combined with a database for neuroimaging and related clinical data and probabilistic mapping infrastructure developed by the UCLA Center for Computational Biology (CCB). This project is part of the National Centers for Biological Computing (NCBC) collaboration program and is funded by the National Institutes of Health, USA. The Cardiac Atlas Project will significantly improve the evaluation of cardiac performance and disease processes, establish characteristic parameters of cardiac structure and function on a regional basis, and enable the evaluation of clinical cases in relation to the statistical distributions within patient subgroups.