Left ventricular segmentation challenge from cardiac MRI: a collation study
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Layered spatio-temporal forests for left ventricle segmentation from 4d cardiac MRI data
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Diffeomorphic cardiac motion estimation with anisotropic regularization along myofiber orientation
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Landmark detection in cardiac MRI using learned local image statistics
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Changes in in vivo myocardial tissue properties due to heart failure
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
Large scale left ventricular shape atlas using automated model fitting to contours
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
Intraventricular dyssynchrony assessment using regional contraction from LV motion models
FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
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Motivation: 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). Availability: http://www.cardiacatlas.org Contact: a.young@auckland.ac.nz Supplementary information:Supplementary data are available at Bioinformatics online.