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Patient-Specific Simulation of Cardiac Blood Flow From High-Resolution Computed Tomography
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0003-1942-7699
Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping.ORCID iD: 0000-0002-9446-6981
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0001-5526-2399
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2016 (English)In: Journal of Biomechanical Engineering, ISSN 0148-0731, E-ISSN 1528-8951, Vol. 138, no 12, 1-9 p.Article in journal (Refereed) Published
Abstract [en]

Cardiac hemodynamics can be computed from medical imaging data, and results could potentially aid in cardiac diagnosis and treatment optimization. However, simulations are often based on simplified geometries, ignoring features such as papillary muscles and trabeculae due to their complex shape, limitations in image acquisitions, and challenges in computational modeling. This severely hampers the use of computational fluid dynamics in clinical practice. The overall aim of this study was to develop a novel numerical framework that incorporated these geometrical features. The model included the left atrium, ventricle, ascending aorta, and heart valves. The framework used image registration to obtain patient-specific wall motion, automatic remeshing to handle topological changes due to the complex trabeculae motion, and a fast interpolation routine to obtain intermediate meshes during the simulations. Velocity fields and residence time were evaluated, and they indicated that papillary muscles and trabeculae strongly interacted with the blood, which could not be observed in a simplified model. The framework resulted in a model with outstanding geometrical detail, demonstrating the feasibility as well as the importance of a framework that is capable of simulating blood flow in physiologically realistic hearts.

Place, publisher, year, edition, pages
ASME Press, 2016. Vol. 138, no 12, 1-9 p.
National Category
Fluid Mechanics and Acoustics Cardiac and Cardiovascular Systems Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-132378DOI: 10.1115/1.4034652PubMedID: 27618494OAI: oai:DiVA.org:liu-132378DiVA: diva2:1044577
Funder
Knut and Alice Wallenberg Foundation
Available from: 2016-11-04 Created: 2016-11-04 Last updated: 2016-11-08Bibliographically approved

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Lantz, JonasHenriksson, LilianPersson, AndersKarlsson, MattsEbbers, Tino
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Division of Cardiovascular MedicineCenter for Medical Image Science and Visualization (CMIV)Faculty of Medicine and Health SciencesDivision of Radiological SciencesDepartment of Radiology in LinköpingApplied Thermodynamics and Fluid MechanicsFaculty of Science & EngineeringDepartment of Clinical Physiology in Linköping
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Journal of Biomechanical Engineering
Fluid Mechanics and AcousticsCardiac and Cardiovascular SystemsMedical Image Processing

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