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Ultrasound super-resolution with microbubble contrast agents

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

Sevan Harput, Kirsten Christensen-Jeffries, Jemma Brown, Robert J. Eckersley, Christopher Dunsby, Meng Xing Tang

Original languageEnglish
Title of host publicationIEEE SENSORS 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages3
ISBN (Electronic)9781509010127
Accepted/In press5 Sep 2017
E-pub ahead of print25 Dec 2017
Event16th IEEE SENSORS Conference, ICSENS 2017 - Glasgow, United Kingdom
Duration: 30 Oct 20171 Nov 2017


Conference16th IEEE SENSORS Conference, ICSENS 2017
Country/TerritoryUnited Kingdom


  • Ultrasound Super-Resolution_HARPUT_Publishedonline25December2017_GREEN AAM

    Ultrasound_Super_Resolution_HARPUT_Publishedonline25December2017_GREEN_AAM.pdf, 335 KB, application/pdf

    Uploaded date:14 Jun 2018

    Version:Accepted author manuscript

    © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

King's Authors


Ultrasound super-resolution imaging can be achieved by localizing spatially isolated microbubble contrast agents over multiple imaging frames. In vivo images with resolutions of ∼10-20 microns in deep tissue have been demonstrated. The technique has the potential to revolutionize the way micro-circulation can be visualized and quantified, and has implications in a wide range of clinical applications including cancer, diabetes and beyond. In this paper we describe the principle of the technique with in vivo results demonstrating the superior resolution achieved compared with existing ultrasound imaging. We also discuss the challenges and opportunities in the area of 3D imaging including, imaging speed, tissue motion and microbubble localization errors.

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