Adjoint-based inverse analysis of windkessel parameters for patient-specific vascular models

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

A human circulatory system is composed of more than 50,000 miles of blood vessels. Such a huge network of vessels is responsible for the elevated pressure values within large arteries. As such, modeling of large blood arteries requires a full modeling of circulatory system. This in turn is computationally not affordable. Thus, a multiscale modeling of the arterial network is a necessity. The multiscale approach is achieved through, first, modeling the arterial regions of interest with 3D models and the rest of the circulatory network with reduced-dimensional (reduced-D) models, then coupling the multiscale domains together. Though reduced-D models can well reproduce physiology, calibrating them to fit 3D patient-specific Fluid Structure Interaction (FSI) geometries has received little attention. For this reason, this work develops calibration methods for reduced-D models using adjoint based methods. We also propose a reduced modeling complexity (RMC) approach that reduces the calibration cost of expensive FSI models using pure fluid modeling. Finally, all of the developed calibration techniques are tested on patient-specific arterial geometries, showing the power and stability of the proposed calibration methods.

Original languageEnglish
Pages (from-to)113-130
Number of pages18
JournalJournal of Computational Physics
Volume244
DOIs
StatePublished - 1 Jul 2013

Keywords

  • Adjoint
  • Computational fluid dynamics
  • Coupled 3D-0D modeling
  • Fluid-Structure Interaction
  • Multiscale hemodynamics
  • Windkessel

Fingerprint

Dive into the research topics of 'Adjoint-based inverse analysis of windkessel parameters for patient-specific vascular models'. Together they form a unique fingerprint.

Cite this