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Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging

Computed ultrasound tomography in echo mode (CUTE) allows real-time imaging of the tissue speed of sound (SoS) using handheld ultrasound. The SoS is retrieved by inverting a forward model that relates the spatial distribution of the tissue SoS to echo shift maps detected between varying transmit and...

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Autores principales: Salemi Yolgunlu, Parisa, Korta Martiartu, Naiara, Gerber, Urs Richard, Frenz, Martin, Jaeger, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304632/
https://www.ncbi.nlm.nih.gov/pubmed/37420762
http://dx.doi.org/10.3390/s23125598
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author Salemi Yolgunlu, Parisa
Korta Martiartu, Naiara
Gerber, Urs Richard
Frenz, Martin
Jaeger, Michael
author_facet Salemi Yolgunlu, Parisa
Korta Martiartu, Naiara
Gerber, Urs Richard
Frenz, Martin
Jaeger, Michael
author_sort Salemi Yolgunlu, Parisa
collection PubMed
description Computed ultrasound tomography in echo mode (CUTE) allows real-time imaging of the tissue speed of sound (SoS) using handheld ultrasound. The SoS is retrieved by inverting a forward model that relates the spatial distribution of the tissue SoS to echo shift maps detected between varying transmit and receive angles. Despite promising results, in vivo SoS maps often show artifacts due to elevated noise in echo shift maps. To minimize artifacts, we propose a technique where an individual SoS map is reconstructed for each echo shift map separately, as opposed to a single SoS map from all echo shift maps simultaneously. The final SoS map is then obtained as a weighted average over all SoS maps. Due to the partial redundancy between different angle combinations, artifacts that appear only in a subset of the individual maps can be excluded via the averaging weights. We investigate this real-time capable technique in simulations using two numerical phantoms, one with a circular inclusion and one with two layers. Our results demonstrate that the SoS maps reconstructed using the proposed technique are equivalent to the ones using simultaneous reconstruction when considering uncorrupted data but show significantly reduced artifact level for data that are corrupted by noise.
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spelling pubmed-103046322023-06-29 Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging Salemi Yolgunlu, Parisa Korta Martiartu, Naiara Gerber, Urs Richard Frenz, Martin Jaeger, Michael Sensors (Basel) Article Computed ultrasound tomography in echo mode (CUTE) allows real-time imaging of the tissue speed of sound (SoS) using handheld ultrasound. The SoS is retrieved by inverting a forward model that relates the spatial distribution of the tissue SoS to echo shift maps detected between varying transmit and receive angles. Despite promising results, in vivo SoS maps often show artifacts due to elevated noise in echo shift maps. To minimize artifacts, we propose a technique where an individual SoS map is reconstructed for each echo shift map separately, as opposed to a single SoS map from all echo shift maps simultaneously. The final SoS map is then obtained as a weighted average over all SoS maps. Due to the partial redundancy between different angle combinations, artifacts that appear only in a subset of the individual maps can be excluded via the averaging weights. We investigate this real-time capable technique in simulations using two numerical phantoms, one with a circular inclusion and one with two layers. Our results demonstrate that the SoS maps reconstructed using the proposed technique are equivalent to the ones using simultaneous reconstruction when considering uncorrupted data but show significantly reduced artifact level for data that are corrupted by noise. MDPI 2023-06-15 /pmc/articles/PMC10304632/ /pubmed/37420762 http://dx.doi.org/10.3390/s23125598 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Salemi Yolgunlu, Parisa
Korta Martiartu, Naiara
Gerber, Urs Richard
Frenz, Martin
Jaeger, Michael
Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging
title Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging
title_full Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging
title_fullStr Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging
title_full_unstemmed Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging
title_short Excluding Echo Shift Noise in Real-Time Pulse-Echo Speed-of-Sound Imaging
title_sort excluding echo shift noise in real-time pulse-echo speed-of-sound imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304632/
https://www.ncbi.nlm.nih.gov/pubmed/37420762
http://dx.doi.org/10.3390/s23125598
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