Frame localisation optical projection tomography

Abstract We present a tomographic reconstruction algorithm (flOPT), which is applied to Optical Projection Tomography (OPT) images, that is robust to mechanical jitter and systematic angular and spatial drift. OPT relies on precise mechanical rotation and is less mechanically stable than large-scale...

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Autores principales:	Craig T. Russell, Pedro P. Vallejo Ramirez, Eric Rees
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1cf6bf98dc9043bb83f3635c68db2e7f
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spelling	oai:doaj.org-article:1cf6bf98dc9043bb83f3635c68db2e7f2021-12-02T13:20:03ZFrame localisation optical projection tomography10.1038/s41598-021-83454-z2045-2322https://doaj.org/article/1cf6bf98dc9043bb83f3635c68db2e7f2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83454-zhttps://doaj.org/toc/2045-2322Abstract We present a tomographic reconstruction algorithm (flOPT), which is applied to Optical Projection Tomography (OPT) images, that is robust to mechanical jitter and systematic angular and spatial drift. OPT relies on precise mechanical rotation and is less mechanically stable than large-scale computer tomography (CT) scanning systems, leading to reconstruction artefacts. The algorithm uses multiple (5+) tracked fiducial beads to recover the sample pose and the image rays are then back-projected at each orientation. The quality of the image reconstruction using the proposed algorithm shows an improvement when compared to the Radon transform. Moreover, when adding a systematic spatial and angular mechanical drift, the reconstruction shows a significant improvement over the Radon transform.Craig T. RussellPedro P. Vallejo RamirezEric ReesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Craig T. Russell Pedro P. Vallejo Ramirez Eric Rees Frame localisation optical projection tomography
description	Abstract We present a tomographic reconstruction algorithm (flOPT), which is applied to Optical Projection Tomography (OPT) images, that is robust to mechanical jitter and systematic angular and spatial drift. OPT relies on precise mechanical rotation and is less mechanically stable than large-scale computer tomography (CT) scanning systems, leading to reconstruction artefacts. The algorithm uses multiple (5+) tracked fiducial beads to recover the sample pose and the image rays are then back-projected at each orientation. The quality of the image reconstruction using the proposed algorithm shows an improvement when compared to the Radon transform. Moreover, when adding a systematic spatial and angular mechanical drift, the reconstruction shows a significant improvement over the Radon transform.
format	article
author	Craig T. Russell Pedro P. Vallejo Ramirez Eric Rees
author_facet	Craig T. Russell Pedro P. Vallejo Ramirez Eric Rees
author_sort	Craig T. Russell
title	Frame localisation optical projection tomography
title_short	Frame localisation optical projection tomography
title_full	Frame localisation optical projection tomography
title_fullStr	Frame localisation optical projection tomography
title_full_unstemmed	Frame localisation optical projection tomography
title_sort	frame localisation optical projection tomography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1cf6bf98dc9043bb83f3635c68db2e7f
work_keys_str_mv	AT craigtrussell framelocalisationopticalprojectiontomography AT pedropvallejoramirez framelocalisationopticalprojectiontomography AT ericrees framelocalisationopticalprojectiontomography
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Frame localisation optical projection tomography

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