The cardiac Atlas Project-an imaging database for computational modeling and statistical atlases of the heart

Bioinformatics

Volumn 27, Issue 16, 2011, Pages 2288-2295

  Fonseca, Carissa G ^a   Backhaus, Michael ^b   Bluemke, David A ^c   Britten, Randall D ^b   Chung, Jae Do ^b   Cowan, Brett R ^b   Dinov, Ivo D ^d   Finn, J Paul ^a   Hunter, Peter J ^b   Kadish, Alan H ^e   Lee, Daniel C ^e   Lima, Joao A C ^f   Medrano Gracia, Pau ^b   Shivkumar, Kalyanam ^a   Suinesiaputra, Avan ^b   Tao, Wenchao ^a   Young, Alistair A ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e NORTHWESTERN UNIVERSITY   (United States)

^f JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; BOOK; CARDIOVASCULAR DISEASE; COMPUTER PROGRAM; DIAGNOSTIC IMAGING; FACTUAL DATABASE; FEMALE; HEART; HEART MUSCLE; HISTOLOGY; HUMAN; MALE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; STATISTICAL MODEL;

AGED; AGED, 80 AND OVER; ATLASES AS TOPIC; CARDIOVASCULAR DISEASES; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DIAGNOSTIC IMAGING; FEMALE; HEART; HUMANS; MAGNETIC RESONANCE IMAGING, CINE; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; MYOCARDIUM; SOFTWARE;

EID: 79961177806     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr360     Document Type: Article

References (31)

1. Alur,D. et al. (2003) Core J2EE Patterns. Prentice Hall, Upper Saddle River.
2. Bild,D.E. et al. (2002) Multi-ethnic study of atherosclerosis: objectives and design. Am. J. Epidemiol., 156, 871-881.
3. Bober,M. et al. (2002) CaGE: Cardiac Gene Expression Knowledgebase. Bioinformatics, 18, 1013-1014.
4. Boxerman,J.L. et al. (1998) Advanced MR imaging techniques for evaluation of the heart and great vessels. Radiographics, 18, 543-564.
5. Bray,T. et al. (2006) Extensible Markup Language (XML) 1.1, W3C Recommendation.
6. Christie,G.R. et al. (2009) FieldML: concepts and implementation. Philos. Transact. A Math. Phys. Eng. Sci., 367, 1869-1884.
7. Cimino,J.J. et al. (2009) The caBIG terminology review process. J. Biomed. Inform., 42, 571-580.
8. Dicom-PS3.3 (2009) Digital Imaging and Communications in Medicine. Part 3: Information Object Definitions, National Electrical Manufacturers Association.
9. Dicom-PS3.5 (2009) Digital Imaging and Communications in Medicine. Part 5: Data Structures and Encoding, National Electrical Manufacturers Association.
10. Fleury,M. and Lindfors,J. (2002) JMX: Managing J2EE with Java Management Extensions. Sams (Pearson Education), Indianapolis.
11. Gamma,E. et al. (1995) Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional (Pearson Education), Upper Saddle River, NJ.
12. Gregg,B. et al. (2006) Creating an IHEATNA-based audit repository. J. Digit. Imaging, 19, 307-315.
13. Hunter,P.J. and Borg,T.K. (2003) Integration from proteins to organs: the Physiome Project. Nat. Rev. Mol. Cell. Biol., 4, 237-243.
14. Kadish,A.H. et al. (2009) Rationale and design for the defibrillators to reduce risk by magnetic resonance imaging evaluation (DETERMINE) trial. J. Cardiovasc. Electrophysiol., 20, 982-987.
15. Kim,R.J. et al. (1999) Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation, 100, 1992-2002.
16. Kohane,I.S. (2009) The twin questions of personalized medicine: who are you and whom do you most resemble? Genome Med., 1, 4.
17. Kundu,S. et al. (2009) The IR Radlex Project: an interventional radiology lexicon-a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology. J. Vasc. Interv. Radiol., 20, 433-435.
18. Mazziotta,J. et al. (2001)Aprobabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philos. Trans. R. Soc. Lond. B. Biol. Sci., 356, 1293-1322.
19. Mega,M. et al. (2005) Automated brain tissue assessment in the elderly and demented population: construction and validation of a sub-volume probabilistic brain atlas. Neuroimage, 26, 1009-1018.
20. Meier,W. (2003) Exist: An Open Source Native XML Database. Lecture Notes In Computer Science: Web, Web-Services, And Database Systems. Node 2002 Web-And Database-Related Workshops. Springer, Berlin.
21. Murphy,S.N. et al. (2006) Integration of clinical and genetic data in the i2b2 architecture. In Proceedings of AMIA Annual Symposium. American Medical Informatics Association, Bethesda MD, P. 1040.
22. Neu,S.C. et al. (2005) The Loni Debabeler: a mediator for neuroimaging software. Neuroimage, 24, 1170-1179.
23. Rosse,C. and Mejino,J.L. Jr. (2003) A reference ontology for biomedical informatics: the foundational model of anatomy. J. Biomed. Inform., 36, 478-500.
24. Ryan,A. et al. (2007) Toward the interoperability of HL7 v3 and SNOMED CT: a case study modeling mobile clinical treatment. Stud. Health. Technol. Inform., 129, 626-630.
25. Smart,J. et al. (2005) Cross-Platform GUI Programming with wxWidgets. Prentice Hall (Pearson Education), Upper Saddle River, NJ.
26. Tang,Y. et al. (2010) The construction of a Chinese MRI brain atlas: a morphometric comparison study between Chinese and Caucasian cohorts. Neuroimage, 51, 33-41.
27. Thiele,H. et al. (2001) Functional cardiac MR imaging with steady-state free precession (SSFP) significantly improves endocardial border delineation without contrast agents. J. Magn. Reson. Imaging, 14, 362-367.
28. Thompson,P.M. et al. (2000) Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain. Hum. Brain Mapp., 9, 81-92.
29. Toga,A.W. et al. (1996) Informatics and computational neuroanatomy. In Proceedings of AMIA Annual Fall Symposium. American Medical Informatics Association, Bethesda MD, PP. 299-303.
30. Young,A.A. and Frangi,A.F. (2009) Computational cardiac atlases: from patient to population and back. Exp. Physiol., 94, 578-596.
31. Young,A.A. et al. (2000) Left ventricular mass and volume: fast calculation with guidepoint modeling on MR images. Radiology, 216, 597-602.