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Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors
The ability to reconstruct fine-resolution images in a high-count-rate environment is an ongoing challenge to the fields of nuclear security, medicine, and high energy physics. This study presents the characterization and performance of an image reconstruction algorithm and detector array in such an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918355/ https://www.ncbi.nlm.nih.gov/pubmed/35279676 http://dx.doi.org/10.1038/s41598-022-08158-4 |
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author | Maloney, Luke Duce, Mackenzie Erickson, Anna |
author_facet | Maloney, Luke Duce, Mackenzie Erickson, Anna |
author_sort | Maloney, Luke |
collection | PubMed |
description | The ability to reconstruct fine-resolution images in a high-count-rate environment is an ongoing challenge to the fields of nuclear security, medicine, and high energy physics. This study presents the characterization and performance of an image reconstruction algorithm and detector array in such an environment. The detector array is composed of quartz Cherenkov radiators and lutetium–yttrium oxyorthosilicate inorganic scintillators detector elements with light collection via silicon photomultipliers (SiPM). The reconstruction algorithm was evaluated using ANSI testing standard N42.46-2008 for imaging performance of active interrogation systems for national security applications; this included spatial resolution, wire detection, and penetration studies. The array was tested using a 6-MVp pulsed photon beam where test objects were translated through the detector field of view demonstrating a capability to resolve a 2.05-mm wire at a source standoff of 2.2 m, a horizontal spatial resolution of 3 mm, and a contrast sensitivity of 1.5%. |
format | Online Article Text |
id | pubmed-8918355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89183552022-03-16 Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors Maloney, Luke Duce, Mackenzie Erickson, Anna Sci Rep Article The ability to reconstruct fine-resolution images in a high-count-rate environment is an ongoing challenge to the fields of nuclear security, medicine, and high energy physics. This study presents the characterization and performance of an image reconstruction algorithm and detector array in such an environment. The detector array is composed of quartz Cherenkov radiators and lutetium–yttrium oxyorthosilicate inorganic scintillators detector elements with light collection via silicon photomultipliers (SiPM). The reconstruction algorithm was evaluated using ANSI testing standard N42.46-2008 for imaging performance of active interrogation systems for national security applications; this included spatial resolution, wire detection, and penetration studies. The array was tested using a 6-MVp pulsed photon beam where test objects were translated through the detector field of view demonstrating a capability to resolve a 2.05-mm wire at a source standoff of 2.2 m, a horizontal spatial resolution of 3 mm, and a contrast sensitivity of 1.5%. Nature Publishing Group UK 2022-03-12 /pmc/articles/PMC8918355/ /pubmed/35279676 http://dx.doi.org/10.1038/s41598-022-08158-4 Text en © The Author(s) 2022 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 Maloney, Luke Duce, Mackenzie Erickson, Anna Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors |
title | Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors |
title_full | Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors |
title_fullStr | Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors |
title_full_unstemmed | Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors |
title_short | Assessment of image reconstruction algorithm coupled with fine-resolution array of Cherenkov detectors |
title_sort | assessment of image reconstruction algorithm coupled with fine-resolution array of cherenkov detectors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918355/ https://www.ncbi.nlm.nih.gov/pubmed/35279676 http://dx.doi.org/10.1038/s41598-022-08158-4 |
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