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Free-moving Quantitative Gamma-ray Imaging

The ability to map and estimate the activity of radiological source distributions in unknown three-dimensional environments has applications in the prevention and response to radiological accidents or threats as well as the enforcement and verification of international nuclear non-proliferation agre...

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Autores principales: Hellfeld, Daniel, Bandstra, Mark S., Vavrek, Jayson R., Gunter, Donald L., Curtis, Joseph C., Salathe, Marco, Pavlovsky, Ryan, Negut, Victor, Barton, Paul J., Cates, Joshua W., Quiter, Brian J., Cooper, Reynold J., Vetter, Kai, Joshi, Tenzing H. Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519933/
https://www.ncbi.nlm.nih.gov/pubmed/34654855
http://dx.doi.org/10.1038/s41598-021-99588-z
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author Hellfeld, Daniel
Bandstra, Mark S.
Vavrek, Jayson R.
Gunter, Donald L.
Curtis, Joseph C.
Salathe, Marco
Pavlovsky, Ryan
Negut, Victor
Barton, Paul J.
Cates, Joshua W.
Quiter, Brian J.
Cooper, Reynold J.
Vetter, Kai
Joshi, Tenzing H. Y.
author_facet Hellfeld, Daniel
Bandstra, Mark S.
Vavrek, Jayson R.
Gunter, Donald L.
Curtis, Joseph C.
Salathe, Marco
Pavlovsky, Ryan
Negut, Victor
Barton, Paul J.
Cates, Joshua W.
Quiter, Brian J.
Cooper, Reynold J.
Vetter, Kai
Joshi, Tenzing H. Y.
author_sort Hellfeld, Daniel
collection PubMed
description The ability to map and estimate the activity of radiological source distributions in unknown three-dimensional environments has applications in the prevention and response to radiological accidents or threats as well as the enforcement and verification of international nuclear non-proliferation agreements. Such a capability requires well-characterized detector response functions, accurate time-dependent detector position and orientation data, a digitized representation of the surrounding 3D environment, and appropriate image reconstruction and uncertainty quantification methods. We have previously demonstrated 3D mapping of gamma-ray emitters with free-moving detector systems on a relative intensity scale using a technique called Scene Data Fusion (SDF). Here we characterize the detector response of a multi-element gamma-ray imaging system using experimentally benchmarked Monte Carlo simulations and perform 3D mapping on an absolute intensity scale. We present experimental reconstruction results from hand-carried and airborne measurements with point-like and distributed sources in known configurations, demonstrating quantitative SDF in complex 3D environments.
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spelling pubmed-85199332021-10-20 Free-moving Quantitative Gamma-ray Imaging Hellfeld, Daniel Bandstra, Mark S. Vavrek, Jayson R. Gunter, Donald L. Curtis, Joseph C. Salathe, Marco Pavlovsky, Ryan Negut, Victor Barton, Paul J. Cates, Joshua W. Quiter, Brian J. Cooper, Reynold J. Vetter, Kai Joshi, Tenzing H. Y. Sci Rep Article The ability to map and estimate the activity of radiological source distributions in unknown three-dimensional environments has applications in the prevention and response to radiological accidents or threats as well as the enforcement and verification of international nuclear non-proliferation agreements. Such a capability requires well-characterized detector response functions, accurate time-dependent detector position and orientation data, a digitized representation of the surrounding 3D environment, and appropriate image reconstruction and uncertainty quantification methods. We have previously demonstrated 3D mapping of gamma-ray emitters with free-moving detector systems on a relative intensity scale using a technique called Scene Data Fusion (SDF). Here we characterize the detector response of a multi-element gamma-ray imaging system using experimentally benchmarked Monte Carlo simulations and perform 3D mapping on an absolute intensity scale. We present experimental reconstruction results from hand-carried and airborne measurements with point-like and distributed sources in known configurations, demonstrating quantitative SDF in complex 3D environments. Nature Publishing Group UK 2021-10-15 /pmc/articles/PMC8519933/ /pubmed/34654855 http://dx.doi.org/10.1038/s41598-021-99588-z Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/ Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hellfeld, Daniel
Bandstra, Mark S.
Vavrek, Jayson R.
Gunter, Donald L.
Curtis, Joseph C.
Salathe, Marco
Pavlovsky, Ryan
Negut, Victor
Barton, Paul J.
Cates, Joshua W.
Quiter, Brian J.
Cooper, Reynold J.
Vetter, Kai
Joshi, Tenzing H. Y.
Free-moving Quantitative Gamma-ray Imaging
title Free-moving Quantitative Gamma-ray Imaging
title_full Free-moving Quantitative Gamma-ray Imaging
title_fullStr Free-moving Quantitative Gamma-ray Imaging
title_full_unstemmed Free-moving Quantitative Gamma-ray Imaging
title_short Free-moving Quantitative Gamma-ray Imaging
title_sort free-moving quantitative gamma-ray imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519933/
https://www.ncbi.nlm.nih.gov/pubmed/34654855
http://dx.doi.org/10.1038/s41598-021-99588-z
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