Model validation for a noninvasive arterial stenosis detection problem

Math Biosci Eng. 2014 Jun;11(3):427-48. doi: 10.3934/mbe.2014.11.427.

Abstract

A current thrust in medical research is the development of a non-invasive method for detection, localization, and characterization of an arterial stenosis (a blockage or partial blockage in an artery). A method has been proposed to detect shear waves in the chest cavity which have been generated by disturbances in the blood flow resulting from a stenosis. In order to develop this methodology further, we use one-dimensional shear wave experimental data from novel acoustic phantoms to validate a corresponding viscoelastic mathematical model. We estimate model parameters which give a good fit (in a sense to be precisely defined) to the experimental data, and use asymptotic error theory to provide confidence intervals for parameter estimates. Finally, since a robust error model is necessary for accurate parameter estimates and confidence analysis, we include a comparison of absolute and relative models for measurement error.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Validation Study

MeSH terms

  • Arterial Occlusive Diseases / diagnosis*
  • Computational Biology
  • Confidence Intervals
  • Constriction, Pathologic / diagnosis
  • Finite Element Analysis
  • Hemodynamics
  • Humans
  • Least-Squares Analysis
  • Mathematical Concepts
  • Models, Cardiovascular*
  • Models, Statistical
  • Phantoms, Imaging