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ICMA: an integrated cardiac modeling and analysis platform
Summary: ICMA, a software framework to create 3D finite element models of the left ventricle from cardiac ultrasound or magnetic resonance imaging (MRI) data, has been made available as an open-source code. The framework is hardware vendor independent and uses speckle tracking (endocardial border de...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393521/ https://www.ncbi.nlm.nih.gov/pubmed/25481009 http://dx.doi.org/10.1093/bioinformatics/btu809 |
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author | Hussan, Jagir R. Hunter, Peter J. Gladding, Patrick A. Greenberg, Neil Christie, Richard Wu, Alan Sorby, Hugh Thomas, James D. |
author_facet | Hussan, Jagir R. Hunter, Peter J. Gladding, Patrick A. Greenberg, Neil Christie, Richard Wu, Alan Sorby, Hugh Thomas, James D. |
author_sort | Hussan, Jagir R. |
collection | PubMed |
description | Summary: ICMA, a software framework to create 3D finite element models of the left ventricle from cardiac ultrasound or magnetic resonance imaging (MRI) data, has been made available as an open-source code. The framework is hardware vendor independent and uses speckle tracking (endocardial border detection) on ultrasound (MRI) imaging data in the form of DICOM. Standard American Heart Association segment-based strain analysis can be performed using a browser-based interface. The speckle tracking, border detection and model fitting methods are implemented in C++ using open-source tools. They are wrapped as web services and orchestrated via a JBOSS-based application server. Availability and implementation: The source code for ICMA is freely available under MPL 1.1 or GPL 2.0 or LGPL 2.1 license at https://github.com/ABI-Software-Laboratory/ICMA and a standalone virtual machine at http://goo.gl/M4lJKH for download. Contact: r.jagir@auckland.ac.nz Supplementary information: Supplementary materials are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4393521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43935212015-04-13 ICMA: an integrated cardiac modeling and analysis platform Hussan, Jagir R. Hunter, Peter J. Gladding, Patrick A. Greenberg, Neil Christie, Richard Wu, Alan Sorby, Hugh Thomas, James D. Bioinformatics Applications Notes Summary: ICMA, a software framework to create 3D finite element models of the left ventricle from cardiac ultrasound or magnetic resonance imaging (MRI) data, has been made available as an open-source code. The framework is hardware vendor independent and uses speckle tracking (endocardial border detection) on ultrasound (MRI) imaging data in the form of DICOM. Standard American Heart Association segment-based strain analysis can be performed using a browser-based interface. The speckle tracking, border detection and model fitting methods are implemented in C++ using open-source tools. They are wrapped as web services and orchestrated via a JBOSS-based application server. Availability and implementation: The source code for ICMA is freely available under MPL 1.1 or GPL 2.0 or LGPL 2.1 license at https://github.com/ABI-Software-Laboratory/ICMA and a standalone virtual machine at http://goo.gl/M4lJKH for download. Contact: r.jagir@auckland.ac.nz Supplementary information: Supplementary materials are available at Bioinformatics online. Oxford University Press 2015-04-15 2014-12-06 /pmc/articles/PMC4393521/ /pubmed/25481009 http://dx.doi.org/10.1093/bioinformatics/btu809 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Hussan, Jagir R. Hunter, Peter J. Gladding, Patrick A. Greenberg, Neil Christie, Richard Wu, Alan Sorby, Hugh Thomas, James D. ICMA: an integrated cardiac modeling and analysis platform |
title | ICMA: an integrated cardiac modeling and analysis platform |
title_full | ICMA: an integrated cardiac modeling and analysis platform |
title_fullStr | ICMA: an integrated cardiac modeling and analysis platform |
title_full_unstemmed | ICMA: an integrated cardiac modeling and analysis platform |
title_short | ICMA: an integrated cardiac modeling and analysis platform |
title_sort | icma: an integrated cardiac modeling and analysis platform |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393521/ https://www.ncbi.nlm.nih.gov/pubmed/25481009 http://dx.doi.org/10.1093/bioinformatics/btu809 |
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