Evaluation of the Standard Error of the Regression and Coefficient of Determination as goodness-of-fit parameters for Reverberant Shear Wave Elastography

Aldo Tecse, Stefano Romero, Benjamin Castaneda

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Several studies of Reverberant shear wave elastography (R-SWE) have shown its potential for clinical applications. Previous studies of R-SWE present a shear wave speed (SWS) estimation based on a curve-fitting of the regression of Bessel functions to find the wavenumber. Recently, the coefficient of determination (R2) was proposed as a goodness-of-fit (GoF) parameter, however, this parameter is not optimal for non-linear fit according to the literature. For this reason, this study proposes the Standard error of the regression (S) as a (GoF). Numerical simulations were performed for 10 000 plane waves to produce a reverberant field. S and R2 parameters were evaluated using a vibration frequency from 300 to 900 Hz with steps of 200 Hz. Besides, this study suggests a threshold value to reduce estimation error with S. Experiments showed negative values for R2 even with 10 000 plane waves. Finally, a threshold of 0.15 for S reduced the bias and coefficient of variation, preserving a major percentage of information.

Original languageEnglish
Title of host publicationLAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665443593
DOIs
StatePublished - 2021
Event2021 IEEE UFFC Latin America Ultrasonics Symposium, LAUS 2021 - Gainesville, United States
Duration: 4 Oct 20215 Oct 2021

Publication series

NameLAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings

Conference

Conference2021 IEEE UFFC Latin America Ultrasonics Symposium, LAUS 2021
Country/TerritoryUnited States
CityGainesville
Period4/10/215/10/21

Keywords

  • Elastography
  • Reverberant field.
  • Shear waves
  • Ultrasound

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