CFD challenge: Predicting patient-specific hemodynamics at rest and stress through an aortic coarctation

Christof Karmonik, Alistair Brown, Kristian Debus, Jean Bismuth, Alain B. Lumsden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The here presented work is part of a CFD challenge investigating the potential for computational fluid dynamics (CFD) simulations to predicted pressures and flows in an aortic coarctation during stress when conditions for the rest case are known. In our approach, we choose to couple a three element Windkessel model to the outlet boundary conditions. Good reproducibility of flow and pressures for the rest case were achieved. In the stress case, where only the inflow boundary condition was changed, baseline pressure was too high, indicating that the total resistance in the Windkessel models may need to be reduced. This would correspond to dilating the blood vessels as might be the result of a pharmacological stress test. Future work is needed to develop an optimization strategy to tune the Windkessel data for matching the clinical results.

Original languageEnglish (US)
Title of host publicationStatistical Atlases and Computational Models of the Heart
Subtitle of host publicationImaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers
PublisherSpringer-Verlag
Pages94-101
Number of pages8
ISBN (Print)9783642542671
DOIs
StatePublished - 2014
Event4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013 - Nagoya, Japan
Duration: Sep 26 2013Sep 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8330 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013
CountryJapan
CityNagoya
Period9/26/139/26/13

Keywords

  • Aortic coarctation
  • Computational fluid dynamics
  • Windkessel model

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'CFD challenge: Predicting patient-specific hemodynamics at rest and stress through an aortic coarctation'. Together they form a unique fingerprint.

Cite this