Estimation of phase velocity and attenuation of visco-elastic plate with adaptive beamforming technique for cortical bone assessment

Shigeaki Okumura, Vu Hieu Nguyen, Hirofumi Taki, Toru Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The technique of non-invasive cortical bone quality assessment using ultrasound axial transmission has attracted considerable attention. Estimating the phase velocity and the attenuation of the absorbing plate will assist the assessment. Among several techniques proposed for these purposes, many employ either a thresholding process or a peak search process. The thresholding process uses the intensity of the guided wave to distinguish the noise from the signal, but may dismiss weak intensity modes. The peak search process extracts the phase velocity and attenuation from the estimated intensity in the frequency and wavenumber domains; however, this process costs a large computational load. To overcome these difficulties, we propose a novel algorithm that uses an adaptive beamforming technique.

Original languageEnglish
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
Publication statusPublished - 2017 Oct 31
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: 2017 Sep 62017 Sep 9

Publication series

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

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period17/9/617/9/9

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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    Okumura, S., Nguyen, V. H., Taki, H., & Sato, T. (2017). Estimation of phase velocity and attenuation of visco-elastic plate with adaptive beamforming technique for cortical bone assessment. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092543] (IEEE International Ultrasonics Symposium, IUS). IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092543