A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data

Abstract Multispectral photoacoustic tomography enables the resolution of spectral components of a tissue or sample at high spatiotemporal resolution. With the availability of commercial instruments, the acquisition of data using this modality has become consistent and standardized. However, the ana...

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Autores principales: Devin O’Kelly, James Campbell, Jeni L. Gerberich, Paniz Karbasi, Venkat Malladi, Andrew Jamieson, Liqiang Wang, Ralph P. Mason
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:947aff8483c8407089fb51ce97ce6eb42021-12-02T19:16:11ZA scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data10.1038/s41598-021-97726-12045-2322https://doaj.org/article/947aff8483c8407089fb51ce97ce6eb42021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97726-1https://doaj.org/toc/2045-2322Abstract Multispectral photoacoustic tomography enables the resolution of spectral components of a tissue or sample at high spatiotemporal resolution. With the availability of commercial instruments, the acquisition of data using this modality has become consistent and standardized. However, the analysis of such data is often hampered by opaque processing algorithms, which are challenging to verify and validate from a user perspective. Furthermore, such tools are inflexible, often locking users into a restricted set of processing motifs, which may not be able to accommodate the demands of diverse experiments. To address these needs, we have developed a Reconstruction, Analysis, and Filtering Toolbox to support the analysis of photoacoustic imaging data. The toolbox includes several algorithms to improve the overall quantification of photoacoustic imaging, including non-negative constraints and multispectral filters. We demonstrate various use cases, including dynamic imaging challenges and quantification of drug effect, and describe the ability of the toolbox to be parallelized on a high performance computing cluster.Devin O’KellyJames CampbellJeni L. GerberichPaniz KarbasiVenkat MalladiAndrew JamiesonLiqiang WangRalph P. MasonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Devin O’Kelly
James Campbell
Jeni L. Gerberich
Paniz Karbasi
Venkat Malladi
Andrew Jamieson
Liqiang Wang
Ralph P. Mason
A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data
description Abstract Multispectral photoacoustic tomography enables the resolution of spectral components of a tissue or sample at high spatiotemporal resolution. With the availability of commercial instruments, the acquisition of data using this modality has become consistent and standardized. However, the analysis of such data is often hampered by opaque processing algorithms, which are challenging to verify and validate from a user perspective. Furthermore, such tools are inflexible, often locking users into a restricted set of processing motifs, which may not be able to accommodate the demands of diverse experiments. To address these needs, we have developed a Reconstruction, Analysis, and Filtering Toolbox to support the analysis of photoacoustic imaging data. The toolbox includes several algorithms to improve the overall quantification of photoacoustic imaging, including non-negative constraints and multispectral filters. We demonstrate various use cases, including dynamic imaging challenges and quantification of drug effect, and describe the ability of the toolbox to be parallelized on a high performance computing cluster.
format article
author Devin O’Kelly
James Campbell
Jeni L. Gerberich
Paniz Karbasi
Venkat Malladi
Andrew Jamieson
Liqiang Wang
Ralph P. Mason
author_facet Devin O’Kelly
James Campbell
Jeni L. Gerberich
Paniz Karbasi
Venkat Malladi
Andrew Jamieson
Liqiang Wang
Ralph P. Mason
author_sort Devin O’Kelly
title A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data
title_short A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data
title_full A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data
title_fullStr A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data
title_full_unstemmed A scalable open-source MATLAB toolbox for reconstruction and analysis of multispectral optoacoustic tomography data
title_sort scalable open-source matlab toolbox for reconstruction and analysis of multispectral optoacoustic tomography data
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/947aff8483c8407089fb51ce97ce6eb4
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