An R-Space Theorem for Plane Wave Ultrasound Reconstruction

Hans Martin Schwab; Frans Van De Vosse; Richard Lopata

doi:10.1109/IUS46767.2020.9251836

An R-Space Theorem for Plane Wave Ultrasound Reconstruction

Hans Martin Schwab, Frans Van De Vosse, Richard Lopata

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

The increasing demand on high-framerate ultrasound and associated applications requires fast methods for image reconstruction. We introduce a plane-wave beamforming algorithm that is based on a mapping law in the Radon domain (r-space). The method offers easy tunability between computation time and image quality by reducing the number of projection angles in the applied Radon transform. The parallel nature of Radon transforms, and the existence of fast algorithms offer huge potential for fast implementations. To show further potential of the method, we assess the impact of nonlinear operations applied to the receive data in r-space for image enhancement and data compression purposes.

Original language	English
Title of host publication	IUS 2020 - International Ultrasonics Symposium, Proceedings
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728154480
DOIs	https://doi.org/10.1109/IUS46767.2020.9251836
Publication status	Published - 7 Sept 2020
Event	2020 IEEE International Ultrasonics Symposium, IUS 2020 - Las Vegas, United States Duration: 7 Sept 2020 → 11 Sept 2020

Conference

Conference	2020 IEEE International Ultrasonics Symposium, IUS 2020
Country/Territory	United States
City	Las Vegas
Period	7/09/20 → 11/09/20

Keywords

Beamforming
Plane wave ultrasound
Radon transform
Reconstruction

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10.1109/IUS46767.2020.9251836

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title = "An R-Space Theorem for Plane Wave Ultrasound Reconstruction",

abstract = "The increasing demand on high-framerate ultrasound and associated applications requires fast methods for image reconstruction. We introduce a plane-wave beamforming algorithm that is based on a mapping law in the Radon domain (r-space). The method offers easy tunability between computation time and image quality by reducing the number of projection angles in the applied Radon transform. The parallel nature of Radon transforms, and the existence of fast algorithms offer huge potential for fast implementations. To show further potential of the method, we assess the impact of nonlinear operations applied to the receive data in r-space for image enhancement and data compression purposes.",

keywords = "Beamforming, Plane wave ultrasound, Radon transform, Reconstruction",

author = "Schwab, {Hans Martin} and {Van De Vosse}, Frans and Richard Lopata",

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language = "English",

booktitle = "IUS 2020 - International Ultrasonics Symposium, Proceedings",

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T1 - An R-Space Theorem for Plane Wave Ultrasound Reconstruction

AU - Schwab, Hans Martin

AU - Van De Vosse, Frans

AU - Lopata, Richard

PY - 2020/9/7

Y1 - 2020/9/7

N2 - The increasing demand on high-framerate ultrasound and associated applications requires fast methods for image reconstruction. We introduce a plane-wave beamforming algorithm that is based on a mapping law in the Radon domain (r-space). The method offers easy tunability between computation time and image quality by reducing the number of projection angles in the applied Radon transform. The parallel nature of Radon transforms, and the existence of fast algorithms offer huge potential for fast implementations. To show further potential of the method, we assess the impact of nonlinear operations applied to the receive data in r-space for image enhancement and data compression purposes.

AB - The increasing demand on high-framerate ultrasound and associated applications requires fast methods for image reconstruction. We introduce a plane-wave beamforming algorithm that is based on a mapping law in the Radon domain (r-space). The method offers easy tunability between computation time and image quality by reducing the number of projection angles in the applied Radon transform. The parallel nature of Radon transforms, and the existence of fast algorithms offer huge potential for fast implementations. To show further potential of the method, we assess the impact of nonlinear operations applied to the receive data in r-space for image enhancement and data compression purposes.

KW - Beamforming

KW - Plane wave ultrasound

KW - Radon transform

KW - Reconstruction

UR - http://www.scopus.com/inward/record.url?scp=85097865497&partnerID=8YFLogxK

U2 - 10.1109/IUS46767.2020.9251836

DO - 10.1109/IUS46767.2020.9251836

M3 - Conference contribution

AN - SCOPUS:85097865497

BT - IUS 2020 - International Ultrasonics Symposium, Proceedings

PB - IEEE Computer Society

T2 - 2020 IEEE International Ultrasonics Symposium, IUS 2020

Y2 - 7 September 2020 through 11 September 2020

ER -

An R-Space Theorem for Plane Wave Ultrasound Reconstruction

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