title: Model validation for a noninvasive arterial stenosis detection problem.
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.
authors: Center for Research in Scientific Computation, Center for Quantitative Sciences in Biomedicine, North Carolina State University, Raleigh, NC 27695-8212, United States. htbanks@ncsu.edu.
authors: H Thomas
authors: HT
authors: Banks
authors: Shuhua
authors: S
authors: Hu
authors: Zackary R
authors: ZR
authors: Kenz
authors: Carola
authors: C
authors: Kruse
authors: Simon
authors: S
authors: Shaw
authors: John
authors: J
authors: Whiteman
authors: Mark P
authors: MP
authors: Brewin
authors: Stephen E
authors: SE
authors: Greenwald
authors: Malcolm J
authors: MJ
authors: Birch
mesh_terms: D001157:Arterial Occlusive Diseases / Q000175:diagnosis*; D019295:Computational Biology; D016001:Confidence Intervals; D003251:Constriction, Pathologic / Q000175:diagnosis; D020342:Finite Element Analysis; D006439:Hemodynamics; D006801:Humans; D016018:Least-Squares Analysis; D055641:Mathematical Concepts; D008955:Models, Cardiovascular; D015233:Models, Statistical; D019047:Phantoms, Imaging