Nie, L orcid.org/0000-0002-5796-907X, Toulemonde, M, Tang, M-X et al. (2 more authors) (2022) 3D Localization of Scatterers with a Spiral-Shaped Acoustic Lens. In: 2022 IEEE International Ultrasonics Symposium (IUS). 2022 IEEE International Ultrasonics Symposium (IUS), 10-13 Oct 2022, Venice, Italy. IEEE ISBN 978-1-6654-7813-7
Abstract
Traditionally, single element transducers are used for localizing objects in 1D through A-mode scans, where only the echo envelope is used. Due to the transducer surface symmetry, A-mode scans performed for azimuthally or elevationally translated scatterers will produce the same 1D information, radial distance. The current study extends the previous work to investigate scatterer localization in 3D by breaking this surface symmetry with the attachment of a new acoustic lens to a single element transducer. In this work, an acoustic lens was 3D printed with a spiral-shaped pattern to partially block the ultrasound waves. When the ultrasound waves are blocked in an anisotropic manner, the symmetry of the transducer is broken. Therefore, the acoustic lens acts as a spatial filter and encodes the received echoes unambiguously, where it is possible to decode the received signals and extract directional information. With this technology, a single sensor can acquire multi-dimensional information with a single measurement.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 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. |
Keywords: | Acoustic lens , Single element imaging , 3D imaging , 3D localization |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Dec 2022 15:24 |
Last Modified: | 13 Dec 2022 15:24 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IUS54386.2022.9958492 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:193992 |