Constrained RF level interpolation for normalized cross correlation based speckle tracking

Brandon Rebholz, Mohamed Almekkawy

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

1 Scopus citations

Abstract

Speckle tracking by normalized cross correlation (NCC) requires subsample accuracy for effective strain estimation. Without this, low displacement causes quantized images that result in unusable strain maps. Doppler methods work well on small displacement, however they operate very poorly on large displacement data where they are prone to aliasing. When manually palpating the medium, it is difficult to maintain a constant deformation rate and pressure, resulting in a mixture of large and small displacement data throughout a total data set. This paper presents the Constrained Radio Frequency method (CRF) of speckle tracking. This method uses the correlation gradients at the sample level to constrain the subsample search region such that the RF data can be interpolated to accurately estimate displacement with subsample precision. Simulated and experimental data sets are used to estimate displacement and strain to compare the CRF method to NCC speckle tracking and the Loupas algorithm doppler technique. The CRF is the most accurate method at estimating displacement and generates strain estimates with higher contrast to noise ratios (CNR) compared to the other methods tested.

Original languageEnglish (US)
Title of host publicationIUS 2020 - International Ultrasonics Symposium, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9781728154480
DOIs
StatePublished - Sep 7 2020
Event2020 IEEE International Ultrasonics Symposium, IUS 2020 - Las Vegas, United States
Duration: Sep 7 2020Sep 11 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
CountryUnited States
CityLas Vegas
Period9/7/209/11/20

All Science Journal Classification (ASJC) codes

  • Acoustics and Ultrasonics

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