Reconstruction of the Radiation Source Spatial Distribution in a Proportional Scattering Medium
A new method of image reconstruction for single-photon emission computer tomography (SPECT) in a proportional scattering medium has been suggested. Detector counts have been obtained by Monte Carlo simulation using the Geant4 nuclear physics software package, which has eliminated the need for applyi...
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Veröffentlicht in: | Technical physics 2021-06, Vol.66 (6), p.805-814 |
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description | A new method of image reconstruction for single-photon emission computer tomography (SPECT) in a proportional scattering medium has been suggested. Detector counts have been obtained by Monte Carlo simulation using the Geant4 nuclear physics software package, which has eliminated the need for applying a real tomograph, radiopharmaceuticals (radiotracers), and a SPECT phantom. Detector counts obtained using Geant4 are virtually the same as those that could be obtained in a full-scale experiment carried out in a real scattering medium. The influence of the absorbing and scattering capabilities of 13 different substances modeling a medium in which the radiation source spatial distribution is submerged on the tomogram reconstruction accuracy has been studied. That this algorithm has considerable advantages for emission tomogram reconstruction over conventional one have been demonstrated. |
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A. ; Lysenko, A. Yu</creator><creatorcontrib>Tereshchenko, S. A. ; Lysenko, A. Yu</creatorcontrib><description>A new method of image reconstruction for single-photon emission computer tomography (SPECT) in a proportional scattering medium has been suggested. Detector counts have been obtained by Monte Carlo simulation using the Geant4 nuclear physics software package, which has eliminated the need for applying a real tomograph, radiopharmaceuticals (radiotracers), and a SPECT phantom. Detector counts obtained using Geant4 are virtually the same as those that could be obtained in a full-scale experiment carried out in a real scattering medium. The influence of the absorbing and scattering capabilities of 13 different substances modeling a medium in which the radiation source spatial distribution is submerged on the tomogram reconstruction accuracy has been studied. That this algorithm has considerable advantages for emission tomogram reconstruction over conventional one have been demonstrated.</description><identifier>ISSN: 1063-7842</identifier><identifier>EISSN: 1090-6525</identifier><identifier>DOI: 10.1134/S1063784221050236</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Algorithms ; Classical and Continuum Physics ; Computed tomography ; Emission analysis ; Image reconstruction ; Monte Carlo method ; Monte Carlo simulation ; Nuclear physics ; Photon emission ; Physics ; Physics and Astronomy ; Radiation ; Radiation sources ; Radioactive tracers ; Scattering ; Spatial distribution ; SPECT imaging ; Tomography</subject><ispartof>Technical physics, 2021-06, Vol.66 (6), p.805-814</ispartof><rights>Pleiades Publishing, Ltd. 2021. ISSN 1063-7842, Technical Physics, 2021, Vol. 66, No. 6, pp. 805–814. © Pleiades Publishing, Ltd., 2021. ISSN 1063-7842, Technical Physics, 2021. © Pleiades Publishing, Ltd., 2021. Russian Text © The Author(s), 2021, published in Zhurnal Tekhnicheskoi Fiziki, 2021, Vol. 91, No. 5, pp. 732–742.</rights><rights>COPYRIGHT 2021 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c335t-143cc98ec457fbc6dab9b800fdb61461e43a5fbd12293929134309826cd6d3773</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1063784221050236$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1063784221050236$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Tereshchenko, S. A.</creatorcontrib><creatorcontrib>Lysenko, A. Yu</creatorcontrib><title>Reconstruction of the Radiation Source Spatial Distribution in a Proportional Scattering Medium</title><title>Technical physics</title><addtitle>Tech. Phys</addtitle><description>A new method of image reconstruction for single-photon emission computer tomography (SPECT) in a proportional scattering medium has been suggested. Detector counts have been obtained by Monte Carlo simulation using the Geant4 nuclear physics software package, which has eliminated the need for applying a real tomograph, radiopharmaceuticals (radiotracers), and a SPECT phantom. Detector counts obtained using Geant4 are virtually the same as those that could be obtained in a full-scale experiment carried out in a real scattering medium. The influence of the absorbing and scattering capabilities of 13 different substances modeling a medium in which the radiation source spatial distribution is submerged on the tomogram reconstruction accuracy has been studied. That this algorithm has considerable advantages for emission tomogram reconstruction over conventional one have been demonstrated.</description><subject>Algorithms</subject><subject>Classical and Continuum Physics</subject><subject>Computed tomography</subject><subject>Emission analysis</subject><subject>Image reconstruction</subject><subject>Monte Carlo method</subject><subject>Monte Carlo simulation</subject><subject>Nuclear physics</subject><subject>Photon emission</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Radiation</subject><subject>Radiation sources</subject><subject>Radioactive tracers</subject><subject>Scattering</subject><subject>Spatial distribution</subject><subject>SPECT imaging</subject><subject>Tomography</subject><issn>1063-7842</issn><issn>1090-6525</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1UctOwzAQjBBIlMIHcLPEOcWvOPGxKk-pCNTA2XJsp7hq4mAnB_4ep0WqECAf1rszs5rdTZJLBGcIEXpdIshIXlCMEcwgJuwomSDIYcoynB2Pf0bSET9NzkLYQIhQkbFJIlZGuTb0flC9dS1wNejfDVhJbeWuULrBKwPKLqZyC25s5Npq2GG2BRK8eNc5P-YRLpXse-NtuwZPRtuhOU9OarkN5uI7TpO3u9vXxUO6fL5_XMyXqSIk61NEiVK8MIpmeV0ppmXFqwLCWlcMUYYMJTKrK40w5oRjHkcmkBeYKc00yXMyTa72fTvvPgYTerGJxqOlIDCjCEY6xQfWWm6NsG3tei9VY4MSc8ZzhmnBUGTN_mDFp01j47ZMbWP9hwDtBcq7ELypRedtI_2nQFCM5xG_zhM1eK8J3bgu4w-G_xd9AUUWj9I</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Tereshchenko, S. 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Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c335t-143cc98ec457fbc6dab9b800fdb61461e43a5fbd12293929134309826cd6d3773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Classical and Continuum Physics</topic><topic>Computed tomography</topic><topic>Emission analysis</topic><topic>Image reconstruction</topic><topic>Monte Carlo method</topic><topic>Monte Carlo simulation</topic><topic>Nuclear physics</topic><topic>Photon emission</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Radiation</topic><topic>Radiation sources</topic><topic>Radioactive tracers</topic><topic>Scattering</topic><topic>Spatial distribution</topic><topic>SPECT imaging</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tereshchenko, S. A.</creatorcontrib><creatorcontrib>Lysenko, A. 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subjects | Algorithms Classical and Continuum Physics Computed tomography Emission analysis Image reconstruction Monte Carlo method Monte Carlo simulation Nuclear physics Photon emission Physics Physics and Astronomy Radiation Radiation sources Radioactive tracers Scattering Spatial distribution SPECT imaging Tomography |
title | Reconstruction of the Radiation Source Spatial Distribution in a Proportional Scattering Medium |
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