3-D Super-Resolution Ultrasound Imaging Using a 2-D Sparse Array with High Volumetric Imaging Rate

Sevan Harnut, Kirsten Christensen-Jeffries, Jemma Brown, Jiaqi Zhu, Ge Zhang, Chee Hau Leow, Matthieu Toulemonde, Alessandro Ramalli, Enrico Boni, Piero Tortoli, Robert J. Eckersley, Chris Dunsby, Meng Xing Tang

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

13 Citations (Scopus)

Abstract

Super-resolution ultrasound imaging has been so far achieved in 3-D by mechanically scanning a volume with a linear probe, by co-aligning multiple linear probes, by using multiplexed 3- D clinical ultrasound systems, or by using 3-D ultrasound research systems. In this study, a 2-D sparse array was designed with 512 elements according to a density-tapered 2-D spiral layout and optimized to reduce the sidelobes of the transmitted beam profile. High frame rate volumetric imaging with compounded plane waves was performed using two synchronized ULA-OP256 systems. Localization-based 3-D super-resolution images of two touching sub-wavelength tubes were generated from a 120 second acquisition.

Original languageEnglish
Title of host publication2018 IEEE International Ultrasonics Symposium, IUS 2018
PublisherIEEE Computer Society
Volume2018-October
ISBN (Electronic)9781538634257
DOIs
Publication statusPublished - 17 Dec 2018
Event2018 IEEE International Ultrasonics Symposium, IUS 2018 - Kobe, Japan
Duration: 22 Oct 201825 Oct 2018

Conference

Conference2018 IEEE International Ultrasonics Symposium, IUS 2018
Country/TerritoryJapan
CityKobe
Period22/10/201825/10/2018

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