Multiphysics computational models for cardiac flow and virtualcardiography

Jung Hee Seo, Vijay Vedula, Theodore Abraham, Rajat Mittal

Research output: Contribution to journalArticle

Abstract

A multiphysics simulation approach is developed for predicting cardiac flows as well as for conducting virtual echocardiography (ECHO) and phonocardiography (PC) of those flows. Intraventricular blood flow in pathological heart conditions is simulated by solving the three-dimensional incompressible Navier-Stokes equations with an immersed boundary method, and using this computational hemodynamic data, echocardiographic and phonocardiographic signals are synthesized by separate simulations that model the physics of ultrasound wave scattering and flow-induced sound, respectively. For virtual ECHO, a Doppler ultrasound image is reproduced through Lagrangian particle tracking of blood cell particles and application of sound wave scattering theory. For virtual PC, the generation and propagation of blood flow-induced sounds ('hemoacoustics') is directly simulated by a computational acoustics model. The virtual ECHO is applied to reproduce a color M-mode Doppler image for the left ventricle as well as continuous Doppler image for the outflow tract of the left ventricle, which can be verified directly against clinically acquired data. The potential of the virtual PC approach for providing new insights between disease and heart sounds is demonstrated by applying it to modeling systolic murmurs caused by hypertrophic cardiomyopathy.

Original languageEnglish (US)
Pages (from-to)850-869
Number of pages20
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Volume29
Issue number8
DOIs
StatePublished - Aug 2013

Keywords

  • Computational fluid dynamics
  • Doppler ultrasound
  • Echocardiography
  • Hemoacoustics
  • Hemodynamics
  • Hypertrophic cardiomyopathy
  • Phonocardiography
  • Systolic murmur

ASJC Scopus subject areas

  • Software
  • Biomedical Engineering
  • Modeling and Simulation
  • Molecular Biology
  • Computational Theory and Mathematics
  • Applied Mathematics

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