kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Hemodynamics in Patients with Aortic Coarctation: A Comparison of in vivo 4D-Flow MRI and FSI Simulation
Department of Bioengineering, Stanford University, Stanford, USA.
Department of Pediatrics, Stanford University, Stanford, USA.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0001-6867-8270
Department of Radiology, Stanford University, Stanford, USA; Division of Radiology, VA Palo Alto Health Care System, Palo Alto, USA.
Show others and affiliations
2023 (English)In: Functional Imaging and Modeling of the Heart: 12th International Conference, FIMH 2023, Proceedings, Springer Nature , 2023, p. 515-523Conference paper, Published paper (Refereed)
Abstract [en]

The analysis of quantitative hemodynamics provides information for the diagnosis and treatment planning in patients with aortic coarctation (CoA). Patient-specific computational fluid dynamics (CFD) simulations reveal detailed hemodynamic information, but their agreement with the clinical standard 4D-Flow magnetic resonance imaging (MRI) needs to be characterized. This work directly compares in vivo CFD fluid-structure interaction (FSI) simulations against 4D-Flow MRI in patients with CoA (N = 5). 4D-Flow MRI-derived flow waveforms and cuff blood pressure measurements were used to tune the boundary conditions for the FSI simulations. Flow rates from 4D-Flow MRI and FSI were compared at cross-sections in the ascending aorta (AAo), CoA and descending aorta (DAo). Qualitative comparisons showed an overall agreement of flow patterns in the aorta between the two methods. The R 2 values for the flow waveforms in the AAo, CoA, and DAo were 0.97, 0.84 and 0.81 respectively, representing a strong correlation between 4D-Flow MRI measurements and FSI results. This work characterizes the use of patient-specific FSI simulations in quantifying and analyzing CoA hemodynamics to inform CoA treatment planning.

Place, publisher, year, edition, pages
Springer Nature , 2023. p. 515-523
Series
Lecture Notes in Computer Science, ISSN 03029743 ; 13958
Keywords [en]
4D-Flow MRI, Aortic coarctation, Computational fluid dynamics, Fluid-structure interaction, Hemodynamics
National Category
Cardiology and Cardiovascular Disease Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-338037DOI: 10.1007/978-3-031-35302-4_53Scopus ID: 2-s2.0-85172723353OAI: oai:DiVA.org:kth-338037DiVA, id: diva2:1804609
Conference
Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings, Lyon, France, Jun 22 2023 - Jun 19 2023
Note

Part of ISBN 9783031353017

QC 20231013

Available from: 2023-10-13 Created: 2023-10-13 Last updated: 2025-02-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Dual, Seraina A.

Search in DiVA

By author/editor
Dual, Seraina A.
By organisation
Health Informatics and Logistics
Cardiology and Cardiovascular DiseaseRadiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 218 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf