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A High Performance Computing Framework for Finite Element Simulation of Blood Flow in the Left Ventricle of the Human Heart
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-7342-1987
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST). BCAM-Basque Center for Applied MathematicsBilbao Basque CountrySpain.ORCID iD: 0000-0002-1695-8809
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-5020-1631
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Numerical Analysis, NA. BCAM-Basque Center for Applied MathematicsBilbao Basque CountrySpain.ORCID iD: 0000-0003-4256-0463
2020 (English)In: Lecture Notes in Computational Science and Engineering, Springer , 2020, p. 155-164Conference paper, Published paper (Refereed)
Abstract [en]

We present a high performance computing framework for finite element simulation of blood flow in the left ventricle of the human heart. The mathematical model is described together with the discretization method and the parallel implementation in Unicorn which is part of the open source software framework FEniCS-HPC. We show results based on patient-specific data that capture essential features observed with other computational models and imaging techniques, and thus indicate that our framework possesses the potential to provide relevant clinical information for diagnosis and medical treatment. Several other studies have been conducted to simulate the three dimensional blood flow in the left ventricle of the human heart with prescribed wall movement. Our contribution to the field of cardiac research lies in establishing an open source framework modular both in modelling and numerical algorithms.

Place, publisher, year, edition, pages
Springer , 2020. p. 155-164
Keywords [en]
Arbitrary Lagrangian–Eulerian method, Blood flow, Finite element method, Left ventricle, Parallel algorithm, Patient-specific heart model, Blood, Computer programming, Diagnosis, Discrete event simulation, Heart, Hemodynamics, Medical imaging, Numerical methods, Open source software, Open systems, Parallel algorithms, Patient treatment, Eulerian method, Finite element simulations, Heart model, High performance computing, Left ventricles, Open source frameworks, Parallel implementations
National Category
Computational Mathematics Fluid Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-274260DOI: 10.1007/978-3-030-30705-9_14Scopus ID: 2-s2.0-85081752309OAI: oai:DiVA.org:kth-274260DiVA, id: diva2:1453792
Conference
Numerical Methods for Flows, 5 April 2017 through 7 April 2017
Note

QC 20200713

Available from: 2020-07-13 Created: 2020-07-13 Last updated: 2025-02-09Bibliographically approved

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Publisher's full textScopushttps://link.springer.com/chapter/10.1007%2F978-3-030-30705-9_14

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Spühler, Jeannette HiromiJansson, JohanJansson, NiclasHoffman, Johan

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Spühler, Jeannette HiromiJansson, JohanJansson, NiclasHoffman, Johan
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