3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging
Conference paper
Harput, S., Christensen-Jeffries, K, Brown, J., Zhu, J., Zhang, G., Eckersley, R.J., Dunsby C. and Tang, M. (2018). 3-D motion correction for volumetric super-resolution ultrasound (SR-US) imaging. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580145
Authors | Harput, S., Christensen-Jeffries, K, Brown, J., Zhu, J., Zhang, G., Eckersley, R.J., Dunsby C. and Tang, M. |
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Type | Conference paper |
Abstract | Motion during image acquisition can cause image degradation in all medical imaging modalities. This is particularly relevant in 2-D ultrasound imaging, since out-of-plane motion can only be compensated for movements smaller than elevational beamwidth of the transducer. Localization based super-resolution imaging creates even a more challenging motion correction task due to the requirement of a high number of acquisitions to form a single super-resolved frame. In this study, an extension of two-stage motion correction method is proposed for 3-D motion correction. Motion estimation was performed on high volumetric rate ultrasound acquisitions with a handheld probe. The capability of the proposed method was demonstrated with a 3-D microvascular flow simulation to compensate for handheld probe motion. Results showed that two- stage motion correction method reduced the average localization error from 136 to 18 μ m. |
Year | 2018 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISSN | 1948-5727 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ULTSYM.2018.8580145 |
Web address (URL) | https://ieeexplore.ieee.org/document/8580145 |
Accepted author manuscript | License All rights reserved |
Publication dates | |
25 Feb 2019 | |
Publication process dates | |
Accepted | 31 Oct 2018 |
Deposited | 09 Aug 2019 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/8556632/proceeding |
https://openresearch.lsbu.ac.uk/item/87x51
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