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Dose optimization approach to fast X-ray microtomography of the lung alveoli

A basic prerequisite for in vivo X-ray imaging of the lung is the exact determination of radiation dose. Achieving resolutions of the order of micrometres may become particularly challenging owing to increased dose, which in the worst case can be lethal for the imaged animal model. A framework for l...

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Autores principales: Lovric, Goran, Barré, Sébastien F., Schittny, Johannes C., Roth-Kleiner, Matthias, Stampanoni, Marco, Mokso, Rajmund
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3769076/
https://www.ncbi.nlm.nih.gov/pubmed/24046488
http://dx.doi.org/10.1107/S0021889813005591
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author Lovric, Goran
Barré, Sébastien F.
Schittny, Johannes C.
Roth-Kleiner, Matthias
Stampanoni, Marco
Mokso, Rajmund
author_facet Lovric, Goran
Barré, Sébastien F.
Schittny, Johannes C.
Roth-Kleiner, Matthias
Stampanoni, Marco
Mokso, Rajmund
author_sort Lovric, Goran
collection PubMed
description A basic prerequisite for in vivo X-ray imaging of the lung is the exact determination of radiation dose. Achieving resolutions of the order of micrometres may become particularly challenging owing to increased dose, which in the worst case can be lethal for the imaged animal model. A framework for linking image quality to radiation dose in order to optimize experimental parameters with respect to dose reduction is presented. The approach may find application for current and future in vivo studies to facilitate proper experiment planning and radiation risk assessment on the one hand and exploit imaging capabilities on the other.
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spelling pubmed-37690762013-09-17 Dose optimization approach to fast X-ray microtomography of the lung alveoli Lovric, Goran Barré, Sébastien F. Schittny, Johannes C. Roth-Kleiner, Matthias Stampanoni, Marco Mokso, Rajmund J Appl Crystallogr X-Ray Diffraction and Imaging A basic prerequisite for in vivo X-ray imaging of the lung is the exact determination of radiation dose. Achieving resolutions of the order of micrometres may become particularly challenging owing to increased dose, which in the worst case can be lethal for the imaged animal model. A framework for linking image quality to radiation dose in order to optimize experimental parameters with respect to dose reduction is presented. The approach may find application for current and future in vivo studies to facilitate proper experiment planning and radiation risk assessment on the one hand and exploit imaging capabilities on the other. International Union of Crystallography 2013-08-01 2013-06-07 /pmc/articles/PMC3769076/ /pubmed/24046488 http://dx.doi.org/10.1107/S0021889813005591 Text en © Goran Lovric et al. 2013 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle X-Ray Diffraction and Imaging
Lovric, Goran
Barré, Sébastien F.
Schittny, Johannes C.
Roth-Kleiner, Matthias
Stampanoni, Marco
Mokso, Rajmund
Dose optimization approach to fast X-ray microtomography of the lung alveoli
title Dose optimization approach to fast X-ray microtomography of the lung alveoli
title_full Dose optimization approach to fast X-ray microtomography of the lung alveoli
title_fullStr Dose optimization approach to fast X-ray microtomography of the lung alveoli
title_full_unstemmed Dose optimization approach to fast X-ray microtomography of the lung alveoli
title_short Dose optimization approach to fast X-ray microtomography of the lung alveoli
title_sort dose optimization approach to fast x-ray microtomography of the lung alveoli
topic X-Ray Diffraction and Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3769076/
https://www.ncbi.nlm.nih.gov/pubmed/24046488
http://dx.doi.org/10.1107/S0021889813005591
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