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Microbubble localization errors in ultrasonic super-resolution imaging

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Kirsten Christensen Jeffries, Sevan Harput, Jemma Brown, Christopher Dunsby, Paul Aljabar, Meng Xing Tang, Robert Eckersley

Original languageEnglish
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society Press
ISBN (Electronic)9781538633830
Publication statusPublished - 31 Oct 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: 6 Sep 20179 Sep 2017


Conference2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States

King's Authors


Recently, acoustic super-resolution (SR) imaging has allowed visualization of microvascular structure and flow beyond the diffraction limit through the localization of many isolated microbubble signals. Each bubble position is typically estimated by calculating the centroid, finding a local maximum, or finding the peak of a 2-D Gaussian function fit. However, the backscattered signal from a microbubble depends not only on diffraction characteristics of the waveform, but also on the bubble behavior in the acoustic field, which if not accounted for, may cause localization errors.

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