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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6763473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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