Watt, Fraser T;
Hauptmann, Andreas;
Mackle, Eleanor C;
Zhang, Edward Z;
Beard, Paul C;
Alles, Erwin J;
(2024)
Non-iterative model-based inversion for low channel-count optical ultrasound imaging.
The Journal of the Acoustical Society of America
, 156
pp. 3514-3522.
10.1121/10.0034450.
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Abstract
Ultrasound image reconstruction is typically performed using the computationally efficient delay-and-sum algorithm. However, this algorithm is suboptimal for systems of low channel counts, where it causes significant image artefacts. These artefacts can be suppressed through model-based inversion approaches; however, their computational costs typically prohibit real-time implementations. In this work, the emerging optical ultrasound (OpUS) modality is considered, where ultrasound waves are both generated and detected using light. With this modality, imaging probes comprise very low channel counts, resulting in significant image artefacts that limit the imaging dynamic range. However, this low channel counts offer an opportunity for non-iterative (“direct”) model-based inversion (DMI) on modest computational resources available in a typical workstation. When applied to both synthetic and experimental OpUS data, the presented DMI method achieved substantial reduction in image artefacts and noise, improved recovery of image amplitudes, and–after one-off pre-computation of the system matrices–significantly reduced reconstruction time, even in imaging scenarios exhibiting mild spatial inhomogeneity. Whilst here applied to an OpUS imaging system, DMI can be applied to other low channel-count imaging systems, and is therefore expected to achieve better image quality, reduce system complexity, or both, in a wide range of settings.
Type: | Article |
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Title: | Non-iterative model-based inversion for low channel-count optical ultrasound imaging |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1121/10.0034450 |
Publisher version: | https://doi.org/10.1121/10.0034450 |
Language: | English |
Additional information: | Copyright © 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | Ultrasound, Photoacoustic imaging, Speed of sound, Ultrasonography, Theoretical computer science, Signal processing, Stereoscopy, Regularization method, Fiber optics, Optical imaging |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10199642 |




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