Regularized wavelength average velocity estimator for quantitative ultrasound elastography

Eduardo González, Pu Li, Juvenal Ormachea, Kevin Parker, Roberto Lavarello, Benjamín Castañeda

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

7 Scopus citations

Abstract

Crawling Wave Sonoelastography (CWS) provides quantitative information of tissue stiffness by the application of two mechanical vibrations into the tissue. However, most of the shear wave speed (SWS) estimators for CWS report lateral artifacts that could undermine the detection accuracy of lesion by increasing the false-positive rate. In previous works, a low-cost estimator (WAVE) based on the crawling wave spatial wavelength (CSPW) averaging along the slow-time domain was proposed, where an underestimation in stiffer inclusions with size smaller than the CSPW was reported. In this study, an improved estimator is developed from the linear model of the CSPW function and solved with an implementation of generalized Tikhonov regularization. Experiments with inclusion phantoms demonstrate that the new estimator copes with the underestimation of WAVE while increase lateral resolution and contrast-to-noise ratio in comparison with other estimators found in the literature.

Original languageEnglish
Title of host publication2016 IEEE International Ultrasonics Symposium, IUS 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781467398978
DOIs
StatePublished - 1 Nov 2016
Event2016 IEEE International Ultrasonics Symposium, IUS 2016 - Tours, France
Duration: 18 Sep 201621 Sep 2016

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume2016-November
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2016 IEEE International Ultrasonics Symposium, IUS 2016
Country/TerritoryFrance
CityTours
Period18/09/1621/09/16

Keywords

  • crawling waves
  • quantitative
  • regularization
  • sonoelastography

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