Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image-based models and application examples

Author:

MacLeod R.S.123,Stinstra J.G.12,Lew S.23,Whitaker R.T.23,Swenson D.J.23,Cole M.J.2,Krüger J.2,Brooks D.H.4,Johnson C.R.2

Affiliation:

1. Nora Eccles Harrison Cardiovascular Research and Training Institute (CVRTI), University of UtahSalt Lake City, UT 84112, USA

2. Scientific Computing and Imaging (SCI) Institute, University of UtahSalt Lake City, UT 84112, USA

3. Department of Bioengineering, University of UtahSalt Lake City, UT 84112, USA

4. Center for Communications and Digital Signal Processing (CDSP), Northeastern UniversityBoston, MA 02115, USA

Abstract

Many simulation studies in biomedicine are based on a similar sequence of processing steps, starting from images and running through geometric model generation, assignment of tissue properties, numerical simulation and visualization of the results—a process known as image-based geometric modelling and simulation. We present an overview of software systems for implementing such a sequence both within highly integrated problem-solving environments and in the form of loosely integrated pipelines. Loose integration in this case indicates that individual programs function largely independently but communicate through files of a common format and support simple scripting, so as to automate multiple executions wherever possible. We then describe three specific applications of such pipelines to translational biomedical research in electrophysiology.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

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