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

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 a...

Full description

Saved in:
Bibliographic Details
Published in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2009-06, Vol.367 (1896), p.2293-2310
Main Authors: MacLeod, R.S., Stinstra, J.G., Lew, S., Whitaker, R.T., Swenson, D.J., Cole, M.J., Krüger, J., Brooks, D.H., Johnson, C.R.
Format: Article
Language:English
Subjects:
Anatomy
Animal models
Computer Simulation
Computer software
Data visualization
Defibrillation
Diagnostic Imaging
Electrophysiology
Geometric Modelling
Heart
Imaging
Mesh Generation
Modeling
Pipelines
Simulation
Simulations
Software
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1364-503X
1471-2962
DOI:10.1098/rsta.2008.0314