The cardiac atlas project: rationale, design and preliminary results
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ORAL PRESENTATION
Open Access
The cardiac atlas project: rationale, design and preliminary results Pau Medrano-Gracia1*, Michael Backhaus1, David A Bluemke2, Jae Do Chung1, Brett R Cowan1, Paul J Finn3, Carissa G Fonseca3, Peter J Hunter1, Alan H Kadish4, Daniel C Lee4, Joao AC Lima2, Kalyanam Shivkumar5, Wenchao Tao3, Alistair A Young1 From 2011 SCMR/Euro CMR Joint Scientific Sessions Nice, France. 3-6 February 2011 Objective To develop a statistical map of regional wall motion in healthy and diseased populations using a standardized database of cardiovascular magnetic resonance studies. Background The Cardiac Atlas Project (CAP) is a NIH sponsored international collaboration to establish a web-accessible structural and functional atlas of the normal and
pathological heart as a shared resource for the clinical, research and educational communities.
Methods Images, derived ventricular contours, and clinical text data have been contributed from several studies. To date, 2864 cases have been contributed from the MESA study [1] comprising asymptomatic volunteers, and 470 cases have been contributed from the DETERMINE
Figure 1 Regions of statistical difference between MESA (asymptomatic) and DETERMINE (myocardial infarction) subgroups. Left: antero-septal infarct DETERMINE subgroup. Right: infero-posterior infarct DETERMINE subgroup. Colours indicate Hotelling T2 p-values, blue least significant, red most significant. Viewpoint is from the septum with the posterior wall to the left. Triangles show epicardial points, and circles show endocardial points, sampled from the average MESA geometry at end systole.
1 The University of Auckland, Auckland, New Zealand Full list of author information is available at the end of the article
© 2011 Medrano-Gracia et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Medrano-Gracia et al. Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):O72 http://jcmr-online.com/content/13/S1/O72
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study [2] comprising patients with myocardial infarction. DICOM images were de-identified using HIPAA compliant software [3]. Only those cases with informed consent and IRB approval compatible with data sharing were included. To illustrate the potential of this resource, a preliminary statistical analysis was performed on a subset of 300 cases from DETERMINE and 200 cases from MESA. A finite element model of the left ventricle was customized to each case using a standardized mapping which registered each anatomical location within a standard coordinate system. Shape and motion distributions were quantified across cohorts using principal component analysis and multidimensional statistical tests.
Results The analysis automatically determined the major characteristics and statistical distribution of shape and motion in the
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