Cargando…

Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging

PURPOSE: This paper investigates the accuracy of blood flow velocities simulated from a geometry prescribed computational fluid dynamics (CFD) pipeline by applying it to a dynamic heart phantom. The CFD flow patterns are compared to a direct flow measurement by ultrasound vector flow imaging (VFI)....

Descripción completa

Detalles Bibliográficos
Autores principales: Hvid, Rasmus, Stuart, Matthias Bo, Jensen, Jørgen Arendt, Traberg, Marie Sand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465406/
https://www.ncbi.nlm.nih.gov/pubmed/37322241
http://dx.doi.org/10.1007/s13239-023-00666-2
_version_ 1785098666698080256
author Hvid, Rasmus
Stuart, Matthias Bo
Jensen, Jørgen Arendt
Traberg, Marie Sand
author_facet Hvid, Rasmus
Stuart, Matthias Bo
Jensen, Jørgen Arendt
Traberg, Marie Sand
author_sort Hvid, Rasmus
collection PubMed
description PURPOSE: This paper investigates the accuracy of blood flow velocities simulated from a geometry prescribed computational fluid dynamics (CFD) pipeline by applying it to a dynamic heart phantom. The CFD flow patterns are compared to a direct flow measurement by ultrasound vector flow imaging (VFI). The hypothesis is that the simulated velocity magnitudes are within one standard deviation of the measured velocities. METHODS: The CFD pipeline uses computed tomography angiography (CTA) images with 20 volumes per cardiac cycle as geometry input. Fluid domain movement is prescribed from volumetric image registration using the CTA image data. Inlet and outlet conditions are defined by the experimental setup. VFI is systematically measured in parallel planes, and compared to the corresponding planes in the simulated time dependent three dimensional fluid velocity field. RESULTS: The measured VFI and simulated CFD have similar flow patterns when compared qualitatively. A quantitative comparison of the velocity magnitude is also performed at specific regions of interest. These are evaluated at 11 non-overlapping time bins and compared by linear regression giving R(2) = 0.809, SD = 0.060 m/s, intercept = − 0.039 m/s, and slope = 1.09. Excluding an outlier at the inlet, the correspondence between CFD and VFI improves to: R(2) = 0.823, SD = 0.048 m/s, intercept = -0.030 m/s, and slope = 1.01. CONCLUSION: The direct comparison of flow patterns shows that the proposed CFD pipeline provide realistic flow patterns in a well-controlled experimental setup. The demanded accuracy is obtained close to the inlet and outlet, but not in locations far from these. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13239-023-00666-2.
format Online
Article
Text
id pubmed-10465406
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-104654062023-08-31 Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging Hvid, Rasmus Stuart, Matthias Bo Jensen, Jørgen Arendt Traberg, Marie Sand Cardiovasc Eng Technol Original Article PURPOSE: This paper investigates the accuracy of blood flow velocities simulated from a geometry prescribed computational fluid dynamics (CFD) pipeline by applying it to a dynamic heart phantom. The CFD flow patterns are compared to a direct flow measurement by ultrasound vector flow imaging (VFI). The hypothesis is that the simulated velocity magnitudes are within one standard deviation of the measured velocities. METHODS: The CFD pipeline uses computed tomography angiography (CTA) images with 20 volumes per cardiac cycle as geometry input. Fluid domain movement is prescribed from volumetric image registration using the CTA image data. Inlet and outlet conditions are defined by the experimental setup. VFI is systematically measured in parallel planes, and compared to the corresponding planes in the simulated time dependent three dimensional fluid velocity field. RESULTS: The measured VFI and simulated CFD have similar flow patterns when compared qualitatively. A quantitative comparison of the velocity magnitude is also performed at specific regions of interest. These are evaluated at 11 non-overlapping time bins and compared by linear regression giving R(2) = 0.809, SD = 0.060 m/s, intercept = − 0.039 m/s, and slope = 1.09. Excluding an outlier at the inlet, the correspondence between CFD and VFI improves to: R(2) = 0.823, SD = 0.048 m/s, intercept = -0.030 m/s, and slope = 1.01. CONCLUSION: The direct comparison of flow patterns shows that the proposed CFD pipeline provide realistic flow patterns in a well-controlled experimental setup. The demanded accuracy is obtained close to the inlet and outlet, but not in locations far from these. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13239-023-00666-2. Springer International Publishing 2023-06-15 2023 /pmc/articles/PMC10465406/ /pubmed/37322241 http://dx.doi.org/10.1007/s13239-023-00666-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Hvid, Rasmus
Stuart, Matthias Bo
Jensen, Jørgen Arendt
Traberg, Marie Sand
Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging
title Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging
title_full Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging
title_fullStr Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging
title_full_unstemmed Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging
title_short Intra-Cardiac Flow from Geometry Prescribed Computational Fluid Dynamics: Comparison with Ultrasound Vector Flow Imaging
title_sort intra-cardiac flow from geometry prescribed computational fluid dynamics: comparison with ultrasound vector flow imaging
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465406/
https://www.ncbi.nlm.nih.gov/pubmed/37322241
http://dx.doi.org/10.1007/s13239-023-00666-2
work_keys_str_mv AT hvidrasmus intracardiacflowfromgeometryprescribedcomputationalfluiddynamicscomparisonwithultrasoundvectorflowimaging
AT stuartmatthiasbo intracardiacflowfromgeometryprescribedcomputationalfluiddynamicscomparisonwithultrasoundvectorflowimaging
AT jensenjørgenarendt intracardiacflowfromgeometryprescribedcomputationalfluiddynamicscomparisonwithultrasoundvectorflowimaging
AT trabergmariesand intracardiacflowfromgeometryprescribedcomputationalfluiddynamicscomparisonwithultrasoundvectorflowimaging