Sparsity-driven super-localization in clinical contrast-enhanced ultrasound

R.J.G. van Sloun, O. Solomon, Y.C. Eldar, H. Wijkstra, M. Mischi

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

12 Citations (Scopus)

Abstract

Super-resolution (SR) ultrasound enables detailed assessment of the fine vascular network by pinpointing individual microbubbles (MBs), using ultrasound contrast agents (UCAs). The information in SR images is determined by the density of localized MBs and their localization accuracy. To obtain high densities, one can evaluate extremely sparse subsets of MBs across thousands of frames by using a very low MB dose and imaging for a very long time, which is impractical for clinical routine. While ultrafast imaging somewhat alleviates this problem, long acquisition times are still required to enhance the full vascular bed. As a result, localization accuracy remains hampered by patient motion. Recently, Sparsity-based Ultrasonic Super resolution Hemodynamic Imaging (SUSHI) achieved comparable spatial resolution with a sub-second temporal resolution. However, in the current implementation of SUSHI this temporal resolution was achieved using very high frame-rate, e.g. plane-wave imaging, which is not currently widely available in clinical scanners. The aim of this work is twofold. First, to attain a high MB localization accuracy on dense contrast-enhanced ultrasound (CEUS) data using a clinical dose of UCA and a widespread clinical scanner. Second, to retain a high resolution by motion compensation.

Original languageEnglish
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017, 06-09 Sept. 2017
Place of PublicationPiscataway
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
ISBN (Print)978-1-5386-3382-3
DOIs
Publication statusPublished - 31 Oct 2017
Event2017 IEEE International Ultrasonics Symposium (IUS 2017) - e Omni Shoreham Hotel, Washington, United States
Duration: 6 Sep 20179 Sep 2017
http://ewh.ieee.org/conf/ius/2017/

Conference

Conference2017 IEEE International Ultrasonics Symposium (IUS 2017)
Abbreviated titleIUS 2017
CountryUnited States
CityWashington
Period6/09/179/09/17
Internet address

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  • Cite this

    van Sloun, R. J. G., Solomon, O., Eldar, Y. C., Wijkstra, H., & Mischi, M. (2017). Sparsity-driven super-localization in clinical contrast-enhanced ultrasound. In 2017 IEEE International Ultrasonics Symposium, IUS 2017, 06-09 Sept. 2017 [8092875] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092875