ICMA: An integrated cardiac modeling and analysis platform

Jagir R. Hussan; Peter J. Hunter; Patrick A. Gladding; Neil Greenberg; Richard Christie; Alan Wu; Hugh Sorby; James D. Thomas

doi:10.1093/bioinformatics/btu809

ICMA: An integrated cardiac modeling and analysis platform

Jagir R. Hussan^*, Peter J. Hunter, Patrick A. Gladding, Neil Greenberg, Richard Christie, Alan Wu, Hugh Sorby, James D. Thomas

^*Corresponding author for this work

Medicine, Cardiology Division

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	1331-1333
Number of pages	3
Journal	Bioinformatics
Volume	31
Issue number	8
DOIs	https://doi.org/10.1093/bioinformatics/btu809
State	Published - Apr 15 2015

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btu809

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title = "ICMA: An integrated cardiac modeling and analysis platform",

abstract = "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.",

author = "Hussan, {Jagir R.} and Hunter, {Peter J.} and Gladding, {Patrick A.} and Neil Greenberg and Richard Christie and Alan Wu and Hugh Sorby and Thomas, {James D.}",

note = "Funding Information: This work was funded by National Space Biomedical Research Institute, USA (CA02203). Publisher Copyright: {\textcopyright} 2014 The Author.",

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doi = "10.1093/bioinformatics/btu809",

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AU - Gladding, Patrick A.

AU - Greenberg, Neil

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AU - Wu, Alan

AU - Sorby, Hugh

AU - Thomas, James D.

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ICMA: An integrated cardiac modeling and analysis platform

Abstract

ASJC Scopus subject areas

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