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A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization
One of the main activities of the nuclear industry is the characterisation of radioactive waste based on the detection of gamma radiation. Large volumes of radioactive waste are classified according to their average activity, but often the radioactivity exceeds the maximum allowed by regulators in s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382569/ https://www.ncbi.nlm.nih.gov/pubmed/37507517 http://dx.doi.org/10.1038/s41598-023-39405-x |
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author | Tortajada, Salvador Albiol, Francisco Caballero, Luis Albiol, Alberto Leganés-Nieto, José Luis |
author_facet | Tortajada, Salvador Albiol, Francisco Caballero, Luis Albiol, Alberto Leganés-Nieto, José Luis |
author_sort | Tortajada, Salvador |
collection | PubMed |
description | One of the main activities of the nuclear industry is the characterisation of radioactive waste based on the detection of gamma radiation. Large volumes of radioactive waste are classified according to their average activity, but often the radioactivity exceeds the maximum allowed by regulators in specific parts of the bulk. In addition, the detection of the radiation is currently based on static detection systems where the geometry of the bulk is fixed and well known. Furthermore, these systems are not portable and depend on the transport of waste to the places where the detection systems are located. However, there are situations where the geometry varies and where moving waste is complex. This is especially true in compromised situations.We present a new model for nuclear waste management based on a portable and geometry-independent tomographic system for three-dimensional image reconstruction for gamma radiation detection. The system relies on a combination of a gamma radiation camera and a visible camera that allows to visualise radioactivity using augmented reality and artificial computer vision techniques. This novel tomographic system has the potential to be a disruptive innovation in the nuclear industry for nuclear waste management. |
format | Online Article Text |
id | pubmed-10382569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103825692023-07-30 A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization Tortajada, Salvador Albiol, Francisco Caballero, Luis Albiol, Alberto Leganés-Nieto, José Luis Sci Rep Article One of the main activities of the nuclear industry is the characterisation of radioactive waste based on the detection of gamma radiation. Large volumes of radioactive waste are classified according to their average activity, but often the radioactivity exceeds the maximum allowed by regulators in specific parts of the bulk. In addition, the detection of the radiation is currently based on static detection systems where the geometry of the bulk is fixed and well known. Furthermore, these systems are not portable and depend on the transport of waste to the places where the detection systems are located. However, there are situations where the geometry varies and where moving waste is complex. This is especially true in compromised situations.We present a new model for nuclear waste management based on a portable and geometry-independent tomographic system for three-dimensional image reconstruction for gamma radiation detection. The system relies on a combination of a gamma radiation camera and a visible camera that allows to visualise radioactivity using augmented reality and artificial computer vision techniques. This novel tomographic system has the potential to be a disruptive innovation in the nuclear industry for nuclear waste management. Nature Publishing Group UK 2023-07-28 /pmc/articles/PMC10382569/ /pubmed/37507517 http://dx.doi.org/10.1038/s41598-023-39405-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 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 Tortajada, Salvador Albiol, Francisco Caballero, Luis Albiol, Alberto Leganés-Nieto, José Luis A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization |
title | A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization |
title_full | A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization |
title_fullStr | A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization |
title_full_unstemmed | A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization |
title_short | A portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization |
title_sort | portable geometry-independent tomographic system for gamma-ray, a next generation of nuclear waste characterization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382569/ https://www.ncbi.nlm.nih.gov/pubmed/37507517 http://dx.doi.org/10.1038/s41598-023-39405-x |
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