The noise distribution in a shear wave speed image computed using arrival times at fixed spatial positions

Jessica L. Jones, Joyce McLaughlin, Paul Renzi

Research output: Contribution to journalArticle

Abstract

In a number of applications, for example biomechanical imaging of tissue and geophysics, the goal is to recover wave speed from arrival times, the times when a wave front, initiated at a source, arrives at certain points in space. The mathematical model that relates the arrival times to the wave speed is assumed to be the Eikonal equation. Typically the measured arrival time data is noisy so that in turn the recovered wave speed is noisy. Here we assume the noise in the measured arrival times is Gaussian and show that then the recovered wave speed has noise that has an inverse Rician distribution. This latter distribution has infinite variance. Nevertheless, we show using the Kantorovich metric that for small variances in the Gaussian noise (corresponding to a small value of the shape parameter in the Rician random variable), the inverse Rician distribution can be approximated by a Gaussian distribution whose mean is the true wave speed.

Original languageEnglish
Article number055012
JournalInverse Problems
Volume33
Issue number5
DOIs
Publication statusPublished - 24 Mar 2017

Fingerprint

Arrival Time
Shear waves
Wave Speed
Eikonal Equation
Geophysics
Infinite Variance
Gaussian Noise
Shape Parameter
Wave Front
Gaussian distribution
Random variables
Random variable
Imaging
Mathematical Model
Metric
Tissue
Mathematical models
Imaging techniques

Keywords

  • elastography
  • geophysics
  • inverse Eikonal equation
  • inverse Rician distribution
  • ultrasound

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Signal Processing
  • Mathematical Physics
  • Computer Science Applications
  • Applied Mathematics

Cite this

The noise distribution in a shear wave speed image computed using arrival times at fixed spatial positions. / Jones, Jessica L.; McLaughlin, Joyce; Renzi, Paul.

In: Inverse Problems, Vol. 33, No. 5, 055012, 24.03.2017.

Research output: Contribution to journalArticle

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