Modeling and Computation of Propagating Waves from Coronary Stenoses

Abstract

The ability to reliably detect coronary artery disease based on the acoustic noises produced by a stenosis can provide a simple, non-invasive technique. Current research exploits the shear wave fields in body tissue to detect and analyze coronary stenosis. A mathematical model of this system couples the generation of these acoustic noises with the propagation of the sound and shear waves through the chest cavity. In our initial investigations we consider a one-dimensional homogeneous viscoelastic model. A quasi-linear viscoelastic stress-strain relationship was proposed by Eung for a variety of biological tissues. Though an effective model, this formulation presents significant computational difficulties in dynamic situations. We present several alternate constitutive relations based on an internal variable formulation that approximate Fung's constitutive relation well when optimized. More importantly, results from the corresponding dynamic models match well with simulated data of wave propagation through a homogeneous soft tissue-like gel.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 15, 2000
Accession Number
ADA454437

Entities

People

  • A. Eberhardt
  • H. Thomas Banks
  • Hong Hanh Tran
  • J. H. Barnes
  • S. Wynne

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Acoustic Waves
  • Computations
  • Human Factors Engineering
  • Information Operations
  • Mathematical Models
  • Models
  • Myocardial Ischemia
  • North Carolina
  • Pathologic Constriction
  • Secondary Waves
  • Soft Tissues
  • Stress Strain Relations
  • Tissues
  • Wave Propagation
  • Waves

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Oncology and Biomarker-Based Cancer Detection.
  • Trauma Surgery or Emergency Medicine.