Nie, L, Cowell, DMJ orcid.org/0000-0003-0854-542X, Carpenter, TM orcid.org/0000-0001-5676-1739 et al. (3 more authors) (2019) Motion Compensation for High-Frame-Rate Contrast-Enhanced Echocardiography Using Diverging Waves: Image Registration Versus Correlation-Based Method. In: 2019 IEEE International Ultrasonics Symposium (IUS). 2019 IEEE International Ultrasonics Symposium (IUS), 06-09 Oct 2019, Glasgow. IEEE , pp. 380-383. ISBN 978-1-7281-4596-9
Abstract
By using diverging ultrasound waves, a B-mode image can be reconstructed from a single transmission with parallel beamforming. For echocardiography, this approach can provide a frame rate up to 5 kHz, which is two orders of magnitude faster than the most clinical scanners. However, image degradation arising from the lack of transmit focusing when using diverging waves, could not be alleviated by coherent compounding due to the effect of cardiac motion. The motion effects on high-frame-rate contrast-enhanced echocardiography (HFR CEE) when combining diverging waves and microbubble contrast agents were demonstrated in recent studies, with a two-stage correlation-based method and an image registration-based method proposed to enable coherent compounding. The current study compared these two methods for motion compensation in HFR CEE both in vitro and in vivo. For in vitro experiments with a rotating disk phantom, the correlation-based method improved the contrast ratio and contrast-to-noise-ratio by 5 dB and 3 dB, respectively. For the in vivo measurement, the correlation-based method provided a 6-dB improvement in contrast-to-tissue ratio.
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 Not Known EPSRC EP/S001069/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Feb 2020 10:47 |
Last Modified: | 07 Feb 2020 13:26 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ultsym.2019.8925638 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156558 |