A novel array processing method for precise depth detection of ultrasound point scatter

Konstantinos Diamantis, Paul Dalgarno, Alan Howard Greenaway, Tom Anderson, Jørgen Arendt Jensen, Vassilis Sboros

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

2 Citations (Scopus)

Abstract

A signal based algorithm resulting in increased depth resolution is presented for medical ultrasound. It relies on multiple foci beamforming that is enabled by current ultrasound imaging systems. The concept stems from optical microscopy and is translated here into ultrasound using the Field II simulation software. A 7 MHz linear transducer is used to scan a single point scatterer phantom that can move in the axial direction. Individual beamformer outputs from 3 different foci are post-processed using the highly-dependent on focusing errors, metric of sharpness to estimate the position of the point scatter. A 37.8 μm uncertainty in depth estimation is achieved, which attains an almost 3-fold improvement compared to conventional ultrasound imaging axial resolution. Future work on the development of this algorithm requires experimental validation in tissue-like materials that provide strong aberrations.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Pages669-673
Number of pages5
DOIs
Publication statusPublished - 2016
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016 - Shanghai International Convention Center, Shanghai, China
Duration: 20 Mar 201625 Mar 2016

Conference

Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing 2016
Abbreviated titleICASSP 2016
CountryChina
CityShanghai
Period20/03/1625/03/16

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  • Cite this

    Diamantis, K., Dalgarno, P., Greenaway, A. H., Anderson, T., Jensen, J. A., & Sboros, V. (2016). A novel array processing method for precise depth detection of ultrasound point scatter. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 669-673). [16021024 ] IEEE. https://doi.org/10.1109/ICASSP.2016.7471759