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Gaussian Light Model in Brightfield Optical Projection Tomography

This study focuses on improving the reconstruction process of the brightfield optical projection tomography (OPT). OPT is often described as the optical equivalent of X-ray computed tomography, but based on visible light. The detection optics used to collect light in OPT focus on a certain distance...

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Detalles Bibliográficos
Autores principales: Koskela, Olli, Montonen, Toni, Belay, Birhanu, Figueiras, Edite, Pursiainen, Sampsa, Hyttinen, Jari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763473/
https://www.ncbi.nlm.nih.gov/pubmed/31558755
http://dx.doi.org/10.1038/s41598-019-50469-6
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author Koskela, Olli
Montonen, Toni
Belay, Birhanu
Figueiras, Edite
Pursiainen, Sampsa
Hyttinen, Jari
author_facet Koskela, Olli
Montonen, Toni
Belay, Birhanu
Figueiras, Edite
Pursiainen, Sampsa
Hyttinen, Jari
author_sort Koskela, Olli
collection PubMed
description This study focuses on improving the reconstruction process of the brightfield optical projection tomography (OPT). OPT is often described as the optical equivalent of X-ray computed tomography, but based on visible light. The detection optics used to collect light in OPT focus on a certain distance and induce blurring in those features out of focus. However, the conventionally used inverse Radon transform assumes an absolute focus throughout the propagation axis. In this study, we model the focusing properties of the detection by coupling Gaussian beam model (GBM) with the Radon transform. The GBM enables the construction of a projection operator that includes modeling of the blurring caused by the light beam. We also introduce the concept of a stretched GBM (SGBM) in which the Gaussian beam is scaled in order to avoid the modeling errors related to the determination of the focal plane. Furthermore, a thresholding approach is used to compress memory usage. We tested the GBM and SGBM approaches using simulated and experimental data in mono- and multifocal modes. When compared with the traditionally used filtered backprojection algorithm, the iteratively computed reconstructions, including the Gaussian models GBM and SGBM, provided smoother images with higher contrast.
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spelling pubmed-67634732019-10-02 Gaussian Light Model in Brightfield Optical Projection Tomography Koskela, Olli Montonen, Toni Belay, Birhanu Figueiras, Edite Pursiainen, Sampsa Hyttinen, Jari Sci Rep Article This study focuses on improving the reconstruction process of the brightfield optical projection tomography (OPT). OPT is often described as the optical equivalent of X-ray computed tomography, but based on visible light. The detection optics used to collect light in OPT focus on a certain distance and induce blurring in those features out of focus. However, the conventionally used inverse Radon transform assumes an absolute focus throughout the propagation axis. In this study, we model the focusing properties of the detection by coupling Gaussian beam model (GBM) with the Radon transform. The GBM enables the construction of a projection operator that includes modeling of the blurring caused by the light beam. We also introduce the concept of a stretched GBM (SGBM) in which the Gaussian beam is scaled in order to avoid the modeling errors related to the determination of the focal plane. Furthermore, a thresholding approach is used to compress memory usage. We tested the GBM and SGBM approaches using simulated and experimental data in mono- and multifocal modes. When compared with the traditionally used filtered backprojection algorithm, the iteratively computed reconstructions, including the Gaussian models GBM and SGBM, provided smoother images with higher contrast. Nature Publishing Group UK 2019-09-26 /pmc/articles/PMC6763473/ /pubmed/31558755 http://dx.doi.org/10.1038/s41598-019-50469-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Koskela, Olli
Montonen, Toni
Belay, Birhanu
Figueiras, Edite
Pursiainen, Sampsa
Hyttinen, Jari
Gaussian Light Model in Brightfield Optical Projection Tomography
title Gaussian Light Model in Brightfield Optical Projection Tomography
title_full Gaussian Light Model in Brightfield Optical Projection Tomography
title_fullStr Gaussian Light Model in Brightfield Optical Projection Tomography
title_full_unstemmed Gaussian Light Model in Brightfield Optical Projection Tomography
title_short Gaussian Light Model in Brightfield Optical Projection Tomography
title_sort gaussian light model in brightfield optical projection tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763473/
https://www.ncbi.nlm.nih.gov/pubmed/31558755
http://dx.doi.org/10.1038/s41598-019-50469-6
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