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Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy

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

J. Brown, S. Kolas, K. Christensen-Jeffries, C. De Menezes, S. Harput, J. Zhu, G. Zhang, M. X. Tang, C. Dunsby, R. J. Eckersley

Original languageEnglish
Title of host publication2018 IEEE International Ultrasonics Symposium, IUS 2018
PublisherIEEE Computer Society
Volume2018-October
ISBN (Electronic)9781538634257
DOIs
Published17 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

King's Authors

Abstract

Acoustic super-resolution (SR) has the potential to visualize microvasculature by localizing individual microbubble (MB) signals. Currently, all detected signals are processed and localized identically. However, the MB point spread function (PSF) is not independent of its surroundings. Despite accuracy on the order of microns being required, it is currently not possible to quantify error that may be introduced due to variation in the MB responses. This work combines high frame rate plane wave ultrasound acquisition with a coincident optical microscope visualizing the SR imaging of a 200 μm cellulose tube. An adjustable aperture has been introduced into the optical microscope to extend the optical depth of field over the phantom. The results showed that the introduction of the aperture enabled modest extension of the depth of field over 50 μm about the optical focus. Modelling and experimental verification found that, at a flow rate of 15 μl/min, MBs could only be detected over the top 70 μm of the tube phantom - further reducing the required depth of field. The simultaneous optical and acoustic data suggested that many fewer MBs acoustically contribute to the SR image than can be observed in the optical FOV. Investigations incorporating a ground truth, like this one, will allow sources of error to be identified, quantified and limited.

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