12
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      To submit to the journal, please click here

      • Record: found
      • Abstract: found
      • Article: found

      Roadmap for cardiovascular circulation model

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Computational models of many aspects of the mammalian cardiovascular circulation have been developed. Indeed, along with orthopaedics, this area of physiology is one that has attracted much interest from engineers, presumably because the equations governing blood flow in the vascular system are well understood and can be solved with well‐established numerical techniques. Unfortunately, there have been only a few attempts to create a comprehensive public domain resource for cardiovascular researchers. In this paper we propose a roadmap for developing an open source cardiovascular circulation model. The model should be registered to the musculo‐skeletal system. The computational infrastructure for the cardiovascular model should provide for near real‐time computation of blood flow and pressure in all parts of the body. The model should deal with vascular beds in all tissues, and the computational infrastructure for the model should provide links into CellML models of cell function and tissue function. In this work we review the literature associated with 1D blood flow modelling in the cardiovascular system, discuss model encoding standards, software and a model repository. We then describe the coordinate systems used to define the vascular geometry, derive the equations and discuss the implementation of these coupled equations in the open source computational software OpenCMISS. Finally, some preliminary results are presented and plans outlined for the next steps in the development of the model, the computational software and the graphical user interface for accessing the model.

          Related collections

          Author and article information

          Contributors
          ssaf006@aucklanduni.ac.nz
          Journal
          J Physiol
          J. Physiol. (Lond.)
          10.1111/(ISSN)1469-7793
          TJP
          jphysiol
          The Journal of Physiology
          John Wiley and Sons Inc. (Hoboken )
          0022-3751
          1469-7793
          29 September 2016
          01 December 2016
          : 594
          : 23 ( doiID: 10.1113/tjp.2016.594.issue-23 )
          : 6909-6928
          Affiliations
          [ 1 ] Auckland Bioengineering Institute University of Auckland Auckland New Zealand
          [ 2 ] Department of Engineering Science University of Auckland Auckland New Zealand
          [ 3 ] Department of Mechanical Engineering University of Canterbury Christchurch New Zealand
          [ 4 ] Institute of Health Informatics University College London London UK
          [ 5 ] ENSEEIHT National Polytechnic Institute of Toulouse Toulouse France
          [ 6 ] LNCC/MCTI National Laboratory for Scientific Computing Petrópolis Brazil
          [ 7 ] UFRPE Federal Rural University of Pernambuco Garanhuns Brazil
          [ 8 ] Faculty of Medicine Department of Circulation and Medical Imaging Norwegian University of Science and Technology (NTNU) Trondheim Norway
          Author notes
          [*] [* ] Corresponding author S. Safaei: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand. Email: ssaf006@ 123456aucklanduni.ac.nz
          Author information
          http://orcid.org/0000-0001-5734-243X
          http://orcid.org/0000-0001-6554-1463
          http://orcid.org/0000-0002-7198-1446
          Article
          PMC5134416 PMC5134416 5134416 TJP7465
          10.1113/JP272660
          5134416
          27506597
          317a28bd-e4b2-4ddd-a1c4-b446fe47a350
          © 2016 The Authors. The Journal of Physiology © 2016 The Physiological Society
          History
          : 20 April 2016
          : 02 August 2016
          Page count
          Figures: 13, Tables: 2, Pages: 20, Words: 11868
          Funding
          Funded by: MedTech Centre of Research Excellence and a Marsden
          Funded by: Royal Society of New Zealand
          Funded by: Brazilian agencies FAPERJ and CNPq
          Categories
          Computational Physiology and Modelling
          Cardiovascular Physiology
          White Paper
          Special section reviews: The Cardiac Physiome Project
          Custom metadata
          2.0
          tjp7465
          1 December 2016
          Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.8 mode:remove_FC converted:01.12.2016

          cardiovascular,CellML,circulation model,FieldML,physiome project,virtual physiological human (VPH)

          Comments

          Comment on this article