Nie, L, Harput, S, McLaughlan, JR orcid.org/0000-0001-5795-4372 et al. (3 more authors) (2017) Acoustic microbubble trapping in blood mimicking fluid. In: IEEE International Ultrasonics Symposium. 2017 IEEE International Ultrasonics Symposium (IUS), 06-09 Sep 2017, Washington, DC. IEEE ISBN 9781538633830
Abstract
Microbubble (MB) volumetric pulsations can be selectively seeded with external ultrasonic fields. The therapeutic use of this phenomenon encompass mechanical thrombolysis and targeted drug deliveries through sonoporating endothelial cells. However, expected outcomes are still plagued by low bubble concentrations and short circulation time after administration. MBs preferentially flow along the centerline of large vessels which deteriorates biological targeting methodology in the case of vascular disease treatment with MBs. Simultaneous MB imaging and trapping against high flow rates has been recently proposed by instantaneously switching optimized ultrasonic beams. Principles were previously validated by circulating MBs with purified water through a flow phantom. But differences between blood and water call for preliminary investigations with blood mimicking fluid (BMF). This study demonstrated the capability of trapping bubbles in BMF with the acoustic trap but with nearly 40% efficiency reduction over the control in water, being present by the suppressed increase of image brightness.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017, IEEE. This is an author produced version of a paper published in IEEE International Ultrasonics Symposium. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Uploaded in accordance with the publisher’s self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number EPSRC EP/J021156/1 EPSRC EP/I000623/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Jan 2018 12:11 |
Last Modified: | 31 Jan 2018 15:28 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ULTSYM.2017.8092590 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126656 |