Alshaya, A, Nie, L orcid.org/0000-0002-5796-907X, Cowell, DMJ orcid.org/0000-0003-0854-542X et al. (3 more authors) (2019) Monitoring Needle Biopsy of Sentinel Lymph Nodes Using Photoacoustic Image with Dynamic-FDMAS Beamformer. In: Proceedings of the 2019 IEEE International Ultrasonics Symposium (IUS). 2019 IEEE International Ultrasonics Symposium (IUS), 06-09 Oct 2019, Glasgow, United Kingdom. IEEE , pp. 490-493. ISBN 978-1-7281-4597-6
Abstract
As a part of the diagnosis pathway for breast cancer, a needle biopsy of the sentinel lymph node (SLN) is taken for analysis. Photoacoustic imaging is a better approach for guiding a needle than ultrasound imaging. However, the photoacoustic image will be affected by clutter, phase aberration and artefact from the needle. In this study, a dynamic filter delay multiply and sum (D-FDMAS) beamformer was produced to reduce these effects and improve the SNR and contrast difference (CD) of imaging targets. The D-FDMAS beamformer with a sub-group of 16 elements (16 D-FDMAS) showed improvement in SNR of needle and inclusion (SLN) by 8.38 dB and 5.42 dB compared with the delay and sum (DAS) beamfomer. It also showed reduction in CD between the inclusion and needle by almost 12 dB compared with the filter delay multiply and sum (FDMAS) beamformer.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, 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. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/S001069/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Feb 2020 11:57 |
Last Modified: | 07 Feb 2020 15:51 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ultsym.2019.8926274 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156524 |