Nie, L orcid.org/0000-0002-5796-907X, Carpenter, TM, Cowell, DMJ et al. (3 more authors) (2018) High Frame-Rate Coherent Diverging Wave Imaging with 2-D Motion Compensation. In: IUS 2018. IEEE International Ultrasonics Symposium, 22-25 Oct 2018, Kobe, Japan. IEEE ISBN 978-1-5386-3425-7
Abstract
The use of diverging ultrasound waves provides enhanced temporal resolution for cardiac function assessment. However, current image formation techniques using coherent summation, are susceptible to motion artifacts. In this study, we used correlation based 2D motion estimation to perform motion compensation for coherent diverging wave imaging. The accuracy of this motion estimation method was evaluated with Field II simulations, giving root-mean-square velocity errors of 5.9% ±0.2% and 19.5%±0.4% in the axial and lateral directions relative to the maximum velocity of 62.8 cm/s. The results of motion estimation were further processed to render the vector flow map and interpret the motion pattern of the disk. Improvement of the B-mode image quality of a 10 cm in vitro tissue mimicking rotating disk was also demonstrated by removing dark imaging artifacts in the compound image.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in 2018 IEEE International Ultrasonics Symposium (IUS). 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. Uploaded in accordance with the publisher's self-archiving policy. |
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: | 04 Mar 2019 12:05 |
Last Modified: | 04 Mar 2019 12:05 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ULTSYM.2018.8579848 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143149 |