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 proceedingConference contributionAcademicpeer-review

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

Conference

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

Keywords

  • Beamforming
  • Plane wave ultrasound
  • Radon transform
  • Reconstruction

Fingerprint Dive into the research topics of 'An R-Space Theorem for Plane Wave Ultrasound Reconstruction'. Together they form a unique fingerprint.

Cite this