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Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging

Using the same ultrasound detector, hybrid optoacoustic-ultrasound (OPUS) imaging provides concurrent scans of tissue slices or volumes and visualizes complementary sound- and light-based contrast at similar resolutions. In addition to the benefit of hybrid contrast, spatial co-registration enables...

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Autores principales: Yang, Hong, Jüstel, Dominik, Prakash, Jaya, Karlas, Angelos, Helfen, Anne, Masthoff, Max, Wildgruber, Moritz, Ntziachristos, Vasilis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139114/
https://www.ncbi.nlm.nih.gov/pubmed/32280585
http://dx.doi.org/10.1016/j.pacs.2020.100172
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author Yang, Hong
Jüstel, Dominik
Prakash, Jaya
Karlas, Angelos
Helfen, Anne
Masthoff, Max
Wildgruber, Moritz
Ntziachristos, Vasilis
author_facet Yang, Hong
Jüstel, Dominik
Prakash, Jaya
Karlas, Angelos
Helfen, Anne
Masthoff, Max
Wildgruber, Moritz
Ntziachristos, Vasilis
author_sort Yang, Hong
collection PubMed
description Using the same ultrasound detector, hybrid optoacoustic-ultrasound (OPUS) imaging provides concurrent scans of tissue slices or volumes and visualizes complementary sound- and light-based contrast at similar resolutions. In addition to the benefit of hybrid contrast, spatial co-registration enables images from one modality to be employed as prior information for improving an aspect of the performance of the other modality. We consider herein a handheld OPUS system and utilize structural information from ultrasound images to guide regional Laplacian regularization-based reconstruction of optoacoustic images. Using phantoms and data from OPUS scans of human radial and carotid arteries, we show that ultrasound-driven optoacoustic inversion reduces limited-view artefacts and improves image contrast. In phantoms, prior-integrated reconstruction leads to a 50 % higher contrast-to-noise ratio (CNR) of the image than standard reconstruction, and a 17 % higher structural similarity (SSIM) index. In clinical data, prior-integrated reconstruction detects deep-seated radial arteries with higher CNR than the standard method at three different depths. In this way, the prior-integrated method offers unique insights into atherosclerotic carotid plaques in humans (with p<0.01 between patients and healthy volunteers), potentially paving the way for new abilities in vascular imaging and more generally in optoacoustic imaging.
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spelling pubmed-71391142020-04-10 Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging Yang, Hong Jüstel, Dominik Prakash, Jaya Karlas, Angelos Helfen, Anne Masthoff, Max Wildgruber, Moritz Ntziachristos, Vasilis Photoacoustics Research Article Using the same ultrasound detector, hybrid optoacoustic-ultrasound (OPUS) imaging provides concurrent scans of tissue slices or volumes and visualizes complementary sound- and light-based contrast at similar resolutions. In addition to the benefit of hybrid contrast, spatial co-registration enables images from one modality to be employed as prior information for improving an aspect of the performance of the other modality. We consider herein a handheld OPUS system and utilize structural information from ultrasound images to guide regional Laplacian regularization-based reconstruction of optoacoustic images. Using phantoms and data from OPUS scans of human radial and carotid arteries, we show that ultrasound-driven optoacoustic inversion reduces limited-view artefacts and improves image contrast. In phantoms, prior-integrated reconstruction leads to a 50 % higher contrast-to-noise ratio (CNR) of the image than standard reconstruction, and a 17 % higher structural similarity (SSIM) index. In clinical data, prior-integrated reconstruction detects deep-seated radial arteries with higher CNR than the standard method at three different depths. In this way, the prior-integrated method offers unique insights into atherosclerotic carotid plaques in humans (with p<0.01 between patients and healthy volunteers), potentially paving the way for new abilities in vascular imaging and more generally in optoacoustic imaging. Elsevier 2020-03-10 /pmc/articles/PMC7139114/ /pubmed/32280585 http://dx.doi.org/10.1016/j.pacs.2020.100172 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Yang, Hong
Jüstel, Dominik
Prakash, Jaya
Karlas, Angelos
Helfen, Anne
Masthoff, Max
Wildgruber, Moritz
Ntziachristos, Vasilis
Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging
title Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging
title_full Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging
title_fullStr Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging
title_full_unstemmed Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging
title_short Soft ultrasound priors in optoacoustic reconstruction: Improving clinical vascular imaging
title_sort soft ultrasound priors in optoacoustic reconstruction: improving clinical vascular imaging
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139114/
https://www.ncbi.nlm.nih.gov/pubmed/32280585
http://dx.doi.org/10.1016/j.pacs.2020.100172
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