Moubark, AM, Nie, L orcid.org/0000-0002-5796-907X, Cowell, DMJ orcid.org/0000-0003-0854-542X et al. (2 more authors) (2019) A New Nonlinear Compounding Technique for Ultrasound B-mode Medical Imaging. In: Proceedings of the 2019 IEEE International Ultrasonics Symposium (IUS). 2019 IEEE International Ultrasonics Symposium (IUS), 06-09 Oct 2019, Glasgow, United Kingdom, United Kingdom. IEEE , pp. 1021-1024. ISBN 978-1-7281-4597-6
Abstract
Compounding techniques have been used in ultra-fast ultrasound imaging to improve image quality by reducing clutter noise, smoothing speckle variance and enhancing its spatial resolution at the cost of reducing frame rate. However, the reduction of clutter noise and side lobes inside the anechoic regions is minimal when combining conventional spatial compounding and delay-and-sum (DAS) beamforming. Despite the availability of advanced beamforming algorithms such as filtered-delay-multiply-and-sum (FDMAS), its prevalence is hindered by relatively high computational cost. In this study, a new nonlinear compounding technique known as filtered multiply and sum (FMAS) was proposed to improve the B-mode image quality without increasing the overall computational complexity. With three compunding angles, the lateral resolution for DAS-FMAS was improved by 36% and 19% compared to DAS and FDMAS. The proposed DAS-FMAS technique also provided improvements of 14.1 dB and 7.29 dB in contrast ratio than DAS and FDMAS.
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. |
Keywords: | Frequency division multiaccess; Ultrasonic imaging; Array signal processing; Imaging; Clutter; Acoustics; Wires |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Feb 2020 12:46 |
Last Modified: | 07 Feb 2020 15:05 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ultsym.2019.8926026 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156525 |