OpenCMISS: A multi-physics & multi-scale computational infrastructure for the VPH/Physiome project
Autor: | Thomas Heidlauf, Soroush Safaei, Chris P. Bradley, Poul M. F. Nielsen, Peter Hunter, David Ladd, Martyn P. Nash, Vijayaraghavan Rajagopal, Sebastian Krittian, Ting Yu, Tim Wu, David P. Nickerson, Thiranja P. Babarenda Gamage, Randall Britten, Caton Little, Andrew Cookson, Andy Bowery, David J. Paterson, Martin Steghöfer, Alejandro F. Frangi, Rafael Sebastian, Heye Zhang, Stig W. Omholt, Øyvind Nordbø, Kumar Mithraratne, Adam Reeve, Oliver Röhrle, Richard Christie, Vincent Budelmann, Oscar Camara, Ali Pashaei |
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Rok vydání: | 2011 |
Předmět: |
Theoretical computer science
Computer science 0206 medical engineering Biophysics 02 engineering and technology Models Biological Biophysical Phenomena Domain (software engineering) Computational science 03 medical and health sciences Software Encoding (memory) Humans Computer Simulation Molecular Biology Physiological Phenomena 030304 developmental biology 0303 health sciences business.industry CellML Data structure 020601 biomedical engineering Elasticity Finite element method Electrophysiological Phenomena Physiome Flow (mathematics) business |
Zdroj: | Progress in Biophysics and Molecular Biology. 107:32-47 |
ISSN: | 0079-6107 |
DOI: | 10.1016/j.pbiomolbio.2011.06.015 |
Popis: | The VPH/Physiome Project is developing the model encoding standards CellML (cellml.org) and FieldML (fieldml.org) as well as web-accessible model repositories based on these standards (models.physiome.org). Freely available open source computational modelling software is also being developed to solve the partial differential equations described by the models and to visualise results. The OpenCMISS code (opencmiss.org), described here, has been developed by the authors over the last six years to replace the CMISS code that has supported a number of organ system Physiome projects. OpenCMISS is designed to encompass multiple sets of physical equations and to link subcellular and tissue-level biophysical processes into organ-level processes. In the Heart Physiome project, for example, the large deformation mechanics of the myocardial wall need to be coupled to both ventricular flow and embedded coronary flow, and the reaction-diffusion equations that govern the propagation of electrical waves through myocardial tissue need to be coupled with equations that describe the ion channel currents that flow through the cardiac cell membranes. In this paper we discuss the design principles and distributed memory architecture behind the OpenCMISS code. We also discuss the design of the interfaces that link the sets of physical equations across common boundaries (such as fluid-structure coupling), or between spatial fields over the same domain (such as coupled electromechanics), and the concepts behind CellML and FieldML that are embodied in the OpenCMISS data structures. We show how all of these provide a flexible infrastructure for combining models developed across the VPH/Physiome community. |
Databáze: | OpenAIRE |
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