Regularized framework for simultaneous estimation of ultrasonic attenuation and backscatter coefficients

Hector Chahuara, Adrian Basarab, Roberto Lavarello

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

10 Scopus citations

Abstract

Quantitative ultrasound (QUS) is a set of techniques for tissue characterization which allows to model tissue properties, such as ultrasonic attenuation and backscatter coefficients. Nevertheless, the challenge of QUS parameters estimation still remains as the trade-off between estimates variance and spatial resolution limits the applicability of the estimations. This work aims at providing an effective framework for QUS parameters estimation. Based on this framework, an estimation algorithm is proposed and tested using simulated phantoms and an in vivo assessment of breast fibroadenoma. The proposed algorithm was validated using simulated phantoms, while the in vivo experiment showed consistent results with the literature (i.e. attenuation for fibroadenoma: 1.97 ± 0.33 dB. MHz-1. cm-1, and normal tissue: 0.59 ± 0.13 dB. MHz-1. cm-1). These results suggest the proposed framework has the potential to improve the estimation of QUS parameters.

Original languageEnglish
Title of host publicationIUS 2020 - International Ultrasonics Symposium, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9781728154480
DOIs
StatePublished - 7 Sep 2020
Event2020 IEEE International Ultrasonics Symposium, IUS 2020 - Las Vegas, United States
Duration: 7 Sep 202011 Sep 2020

Publication series

NameIEEE International Ultrasonics Symposium, IUS
Volume2020-September
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2020 IEEE International Ultrasonics Symposium, IUS 2020
Country/TerritoryUnited States
CityLas Vegas
Period7/09/2011/09/20

Keywords

  • Attenuation imaging
  • Backscatter coefficient
  • Optimization framework
  • Quantitative ultrasound

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