title: The Cardiac Atlas Project--an imaging database for computational modeling and statistical atlases of the heart.
abstract: BACKGROUND
  Integrative mathematical and statistical models of cardiac anatomy and physiology can play a vital role in understanding cardiac disease phenotype and planning therapeutic strategies. However, the accuracy and predictive power of such models is dependent upon the breadth and depth of noninvasive imaging datasets. The Cardiac Atlas Project (CAP) has established a large-scale database of cardiac imaging examinations and associated clinical data in order to develop a shareable, web-accessible, structural and functional atlas of the normal and pathological heart for clinical, research and educational purposes. A goal of CAP is to facilitate collaborative statistical analysis of regional heart shape and wall motion and characterize cardiac function among and within population groups.
  
  
  RESULTS
  Three main open-source software components were developed: (i) a database with web-interface; (ii) a modeling client for 3D + time visualization and parametric description of shape and motion; and (iii) open data formats for semantic characterization of models and annotations. The database was implemented using a three-tier architecture utilizing MySQL, JBoss and Dcm4chee, in compliance with the DICOM standard to provide compatibility with existing clinical networks and devices. Parts of Dcm4chee were extended to access image specific attributes as search parameters. To date, approximately 3000 de-identified cardiac imaging examinations are available in the database. All software components developed by the CAP are open source and are freely available under the Mozilla Public License Version 1.1 (http://www.mozilla.org/MPL/MPL-1.1.txt).
  
  
  BACKGROUND
  http://www.cardiacatlas.org
  
  
  BACKGROUND
  a.young@auckland.ac.nz
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors: Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, CA 90095, USA.
authors: Carissa G
authors: CG
authors: Fonseca
authors: Michael
authors: M
authors: Backhaus
authors: David A
authors: DA
authors: Bluemke
authors: Randall D
authors: RD
authors: Britten
authors: Jae Do
authors: JD
authors: Chung
authors: Brett R
authors: BR
authors: Cowan
authors: Ivo D
authors: ID
authors: Dinov
authors: J Paul
authors: JP
authors: Finn
authors: Peter J
authors: PJ
authors: Hunter
authors: Alan H
authors: AH
authors: Kadish
authors: Daniel C
authors: DC
authors: Lee
authors: Joao A C
authors: JA
authors: Lima
authors: Pau
authors: P
authors: Medrano-Gracia
authors: Kalyanam
authors: K
authors: Shivkumar
authors: Avan
authors: A
authors: Suinesiaputra
authors: Wenchao
authors: W
authors: Tao
authors: Alistair A
authors: AA
authors: Young
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001271:Atlases as Topic; D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000473:pathology; D019295:Computational Biology; D016208:Databases, Factual; D003952:Diagnostic Imaging; D005260:Female; D006321:Heart / Q000033:anatomy & histology*; D006801:Humans; D019028:Magnetic Resonance Imaging, Cine; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D015233:Models, Statistical; D009206:Myocardium / Q000473:pathology*; D012984:Software