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Open-Source Routines for Building Personalized Left Ventricular Models from Cardiac MRI Data (2019)
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Creating patient-specific models of the heart is a promising approach for predicting outcomes in response to congenital malformations, injury, or disease, as well as an important tool for developing and customizing therapies. However, integrating multi-modal imaging data to construct patient-specific models is a non-trivial task. Here, we propose an approach that employs a prolate spheroidal coordinate system to interpolate information from multiple imaging datasets and map those data onto a single geometric model of the left ventricle. We demonstrate the mapping of the location and transmural extent of post-infarction scar segmented from late gadolinium enhancement (LGE) MRI, as well as mechanical activation calculated from displacement encoding with stimulated echoes (DENSE) MRI. As a supplement to this article, we provide MATLAB and Python versions of the routines employed here for download from SimTK (https://simtk.org/projects/lvdatamap).


This project provides MATLAB and Python code to register multiple imaging protocols to create a patient-specific finite element mesh of a left ventricle suitable for simulation in FEBio. This work was recently published in the Journal of Biomechanical Engineering "Open-Source Routines for Building Personalized Left Ventricular Models from Cardiac MRI" (doi:10.1115/1.4043876)

License: Left Ventricle MRI&Geometry

This project provides MATLAB and Python code to register multiple imaging protocols to create a patient-specific finite element mesh of a left ventricle suitable for simulation in FEBio. The imaging data sets used were processed in the freely available segmentation software Segment (http://medviso.com/segment/). We use landmark locations in the LV to register different imaging data into a common cardiac coordinate system and pass information via the epicardial surface.

Two fitting examples are provided- fitting LGE MRI scar and DENSE MRI mechanical activation.
The data files are provided under "Downloads"
The library of scripts are provided under "Source Code"

Downloads

The downloads include MATLAB and Segment (medviso.com/segment/) files necessary to recreate an infarcted LV model shown in " Open-Source Routines for Building Personalized Left Ventricular Models from Cardiac MRI Data" (doi:10.1115/1.4043876)

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