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.Contact: r.jagir@auckland.ac.nzSupplementary information: Supplementary materials are available at Bioinformatics online.

Highlights

  • Cardiac echocardiography is a widely used modality to assess wall motion due to its non-invasiveness and comparatively lower setup costs

  • We developed a model guided speckle tracking method that tracks left ventricular wall motion in cardiac ultrasound images

  • Modifications and subsequent distributions are subject to the provisions of Mozilla Public License Version 1.1 or GNU General Public License Version 2 or later, or the GNU Lesser General Public License Version 2.1 or later

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Summary

Introduction

Cardiac echocardiography is a widely used modality to assess wall motion due to its non-invasiveness and comparatively lower setup costs. The software enables cardiologists to determine clinically relevant parameters such as ejection-fraction, regional wall strain etc. These software components are expensive, tied to the vendor hardware and not open-source. We developed a model guided speckle tracking method that tracks left ventricular wall motion in cardiac ultrasound images. Motion information from one or more ultrasound views can be combined to improve the reconstructed geometry These modules are independent of each other and wall motion data gathered from other modalities like MRI can be used. Automatically tracks them over the cardiac cycle) for each of these images and verifying the tracked motion Administrative tasks such as adding and removing subjects, removing models created by users, etc. Modifications and subsequent distributions are subject to the provisions of Mozilla Public License Version 1.1 (the ‘MPL’) or GNU General Public License Version 2 or later (the ‘GPL’), or the GNU Lesser General Public License Version 2.1 or later (the ‘LGPL’)

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