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NEMA NU 1-2018 performance characterization and Monte Carlo model validation of the Cubresa Spark SiPM-based preclinical SPECT scanner
Background The Cubresa Spark is a novel benchtop silicon-photomultiplier (SiPM)-based preclinical SPECT system. SiPMs in SPECT significantly improve resolution and reduce detector size compared to preclinical cameras with photomultiplier tubes requiring highly magnifying collimators. The NEMA NU 1 S...
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Published in: | EJNMMI physics 2023-06, Vol.10 (1), p.35-35, Article 35 |
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description | Background
The Cubresa Spark is a novel benchtop silicon-photomultiplier (SiPM)-based preclinical SPECT system. SiPMs in SPECT significantly improve resolution and reduce detector size compared to preclinical cameras with photomultiplier tubes requiring highly magnifying collimators. The NEMA NU 1 Standard for Performance Measurements of Gamma Cameras provides methods that can be readily applied or extended to characterize preclinical cameras with minor modifications. The primary objective of this study is to characterize the Spark according to the NEMA NU 1-2018 standard to gain insight into its nuclear medicine imaging capabilities. The secondary objective is to validate a GATE Monte Carlo simulation model of the Spark for use in preclinical SPECT studies.
Methods
NEMA NU 1-2018 guidelines were applied to characterize the Spark’s intrinsic, system, and tomographic performance with single- and multi-pinhole collimators. Phantoms were fabricated according to NEMA specifications with deviations involving high-resolution modifications. GATE was utilized to model the detector head with the single-pinhole collimator, and NEMA measurements were employed to tune and validate the model. Single-pinhole and multi-pinhole SPECT data were reconstructed with the Software for Tomographic Image Reconstruction and HiSPECT, respectively.
Results
The limiting intrinsic resolution was measured as 0.85 mm owing to a high-resolution SiPM array combined with a 3 mm-thick scintillation crystal. The average limiting tomographic resolution was 1.37 mm and 1.19 mm for the single- and multi-pinhole collimators, respectively, which have magnification factors near unity at the center of rotation. The maximum observed count rate was 15,400 cps, and planar sensitivities of 34 cps/MBq and 150 cps/MBq were measured at the center of rotation for the single- and multi-pinhole collimators, respectively. All simulated tests agreed well with measurement, where the most considerable deviations were below 7%.
Conclusions
NEMA NU 1-2018 standards determined that a SiPM detector mitigates the need for highly magnifying pinhole collimators while preserving detailed information in projection images. Measured and simulated NEMA results were highly comparable with differences on the order of a few percent, confirming simulation accuracy and validating the GATE model. Of the collimators initially provided with the Spark, the multi-pinhole collimator offers high resolution and sensitivity for organ-spe |
doi_str_mv | 10.1186/s40658-023-00555-6 |
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The Cubresa Spark is a novel benchtop silicon-photomultiplier (SiPM)-based preclinical SPECT system. SiPMs in SPECT significantly improve resolution and reduce detector size compared to preclinical cameras with photomultiplier tubes requiring highly magnifying collimators. The NEMA NU 1 Standard for Performance Measurements of Gamma Cameras provides methods that can be readily applied or extended to characterize preclinical cameras with minor modifications. The primary objective of this study is to characterize the Spark according to the NEMA NU 1-2018 standard to gain insight into its nuclear medicine imaging capabilities. The secondary objective is to validate a GATE Monte Carlo simulation model of the Spark for use in preclinical SPECT studies.
Methods
NEMA NU 1-2018 guidelines were applied to characterize the Spark’s intrinsic, system, and tomographic performance with single- and multi-pinhole collimators. Phantoms were fabricated according to NEMA specifications with deviations involving high-resolution modifications. GATE was utilized to model the detector head with the single-pinhole collimator, and NEMA measurements were employed to tune and validate the model. Single-pinhole and multi-pinhole SPECT data were reconstructed with the Software for Tomographic Image Reconstruction and HiSPECT, respectively.
Results
The limiting intrinsic resolution was measured as 0.85 mm owing to a high-resolution SiPM array combined with a 3 mm-thick scintillation crystal. The average limiting tomographic resolution was 1.37 mm and 1.19 mm for the single- and multi-pinhole collimators, respectively, which have magnification factors near unity at the center of rotation. The maximum observed count rate was 15,400 cps, and planar sensitivities of 34 cps/MBq and 150 cps/MBq were measured at the center of rotation for the single- and multi-pinhole collimators, respectively. All simulated tests agreed well with measurement, where the most considerable deviations were below 7%.
Conclusions
NEMA NU 1-2018 standards determined that a SiPM detector mitigates the need for highly magnifying pinhole collimators while preserving detailed information in projection images. Measured and simulated NEMA results were highly comparable with differences on the order of a few percent, confirming simulation accuracy and validating the GATE model. Of the collimators initially provided with the Spark, the multi-pinhole collimator offers high resolution and sensitivity for organ-specific imaging of small animals, and the single-pinhole collimator enables high-resolution whole-body imaging of small animals.</description><identifier>ISSN: 2197-7364</identifier><identifier>EISSN: 2197-7364</identifier><identifier>DOI: 10.1186/s40658-023-00555-6</identifier><identifier>PMID: 37261574</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Animal imaging instrumentation ; Animals ; Applied and Technical Physics ; Cameras ; Collimators ; Computational Mathematics and Numerical Analysis ; Computer-assisted image processing ; Constraining ; Deviation ; Engineering ; High resolution ; Image reconstruction ; Image resolution ; Imaging ; Medicine ; Medicine & Public Health ; Molecular imaging ; Monte Carlo method ; Monte Carlo simulation ; Nuclear Medicine ; Original Research ; Photomultiplier tubes ; Pinholes ; Radiology ; Rotation ; Sensitivity ; Sensors ; Simulation models ; SPECT</subject><ispartof>EJNMMI physics, 2023-06, Vol.10 (1), p.35-35, Article 35</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c559t-a36a4d8336581c2ac8a5e3ccde564010e2a7bdee30a5f542711870bc15bc2a983</cites><orcidid>0000-0001-8045-9126</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2821500956/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2821500956?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37261574$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Strugari, Matthew E.</creatorcontrib><creatorcontrib>DeBay, Drew R.</creatorcontrib><creatorcontrib>Beyea, Steven D.</creatorcontrib><creatorcontrib>Brewer, Kimberly D.</creatorcontrib><title>NEMA NU 1-2018 performance characterization and Monte Carlo model validation of the Cubresa Spark SiPM-based preclinical SPECT scanner</title><title>EJNMMI physics</title><addtitle>EJNMMI Phys</addtitle><addtitle>EJNMMI Phys</addtitle><description>Background
The Cubresa Spark is a novel benchtop silicon-photomultiplier (SiPM)-based preclinical SPECT system. SiPMs in SPECT significantly improve resolution and reduce detector size compared to preclinical cameras with photomultiplier tubes requiring highly magnifying collimators. The NEMA NU 1 Standard for Performance Measurements of Gamma Cameras provides methods that can be readily applied or extended to characterize preclinical cameras with minor modifications. The primary objective of this study is to characterize the Spark according to the NEMA NU 1-2018 standard to gain insight into its nuclear medicine imaging capabilities. The secondary objective is to validate a GATE Monte Carlo simulation model of the Spark for use in preclinical SPECT studies.
Methods
NEMA NU 1-2018 guidelines were applied to characterize the Spark’s intrinsic, system, and tomographic performance with single- and multi-pinhole collimators. Phantoms were fabricated according to NEMA specifications with deviations involving high-resolution modifications. GATE was utilized to model the detector head with the single-pinhole collimator, and NEMA measurements were employed to tune and validate the model. Single-pinhole and multi-pinhole SPECT data were reconstructed with the Software for Tomographic Image Reconstruction and HiSPECT, respectively.
Results
The limiting intrinsic resolution was measured as 0.85 mm owing to a high-resolution SiPM array combined with a 3 mm-thick scintillation crystal. The average limiting tomographic resolution was 1.37 mm and 1.19 mm for the single- and multi-pinhole collimators, respectively, which have magnification factors near unity at the center of rotation. The maximum observed count rate was 15,400 cps, and planar sensitivities of 34 cps/MBq and 150 cps/MBq were measured at the center of rotation for the single- and multi-pinhole collimators, respectively. All simulated tests agreed well with measurement, where the most considerable deviations were below 7%.
Conclusions
NEMA NU 1-2018 standards determined that a SiPM detector mitigates the need for highly magnifying pinhole collimators while preserving detailed information in projection images. Measured and simulated NEMA results were highly comparable with differences on the order of a few percent, confirming simulation accuracy and validating the GATE model. Of the collimators initially provided with the Spark, the multi-pinhole collimator offers high resolution and sensitivity for organ-specific imaging of small animals, and the single-pinhole collimator enables high-resolution whole-body imaging of small animals.</description><subject>Animal imaging instrumentation</subject><subject>Animals</subject><subject>Applied and Technical Physics</subject><subject>Cameras</subject><subject>Collimators</subject><subject>Computational Mathematics and Numerical Analysis</subject><subject>Computer-assisted image processing</subject><subject>Constraining</subject><subject>Deviation</subject><subject>Engineering</subject><subject>High resolution</subject><subject>Image reconstruction</subject><subject>Image resolution</subject><subject>Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Molecular imaging</subject><subject>Monte Carlo method</subject><subject>Monte Carlo simulation</subject><subject>Nuclear Medicine</subject><subject>Original Research</subject><subject>Photomultiplier tubes</subject><subject>Pinholes</subject><subject>Radiology</subject><subject>Rotation</subject><subject>Sensitivity</subject><subject>Sensors</subject><subject>Simulation models</subject><subject>SPECT</subject><issn>2197-7364</issn><issn>2197-7364</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kstu1DAUhiMEolXpC7BAltiwCfgS57JC1WiASp1Sadq1deKczHhI7GAnleAB-tz1TEppWbCy5fOd3-fyJ8lbRj8yVuafQkZzWaaUi5RSKWWav0iOOauKtBB59vLJ_Sg5DWFHKWVc5pzx18mRKHjOZJEdJ3eXy9UZubwhLOWUlWRA3zrfg9VI9BY86BG9-Q2jcZaAbcjK2RHJAnznSO8a7MgtdKaZAdeScRujU-0xAFkP4H-QtblapTUEbMjgUXfGGg0dWV8tF9ckaLAW_ZvkVQtdwNOH8yS5-bK8XnxLL75_PV-cXaRaympMQeSQNaUQsXWmOegSJAqtG5R5RhlFDkXdIAoKspUZL-KoClprJutIV6U4Sc5n3cbBTg3e9OB_KQdGHR6c3yjwo9EdKlo1Auu6wLaWGZRZyUAKkJqXOuO8xqj1edYaprrHRqMdPXTPRJ9HrNmqjbtVLC5N8mJfzYcHBe9-ThhG1ZugsevAopuC4iVnecbisiL6_h905yZv46wOlKS0knuKz5T2LgSP7WM1jKq9bdRsGxUrUAfbqH3Su6d9PKb8MUkExAyEGLIb9H___o_sPe-WzNI</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Strugari, Matthew E.</creator><creator>DeBay, Drew R.</creator><creator>Beyea, Steven D.</creator><creator>Brewer, Kimberly D.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8045-9126</orcidid></search><sort><creationdate>20230601</creationdate><title>NEMA NU 1-2018 performance characterization and Monte Carlo model validation of the Cubresa Spark SiPM-based preclinical SPECT scanner</title><author>Strugari, Matthew E. ; DeBay, Drew R. ; Beyea, Steven D. ; Brewer, Kimberly D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c559t-a36a4d8336581c2ac8a5e3ccde564010e2a7bdee30a5f542711870bc15bc2a983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Animal imaging instrumentation</topic><topic>Animals</topic><topic>Applied and Technical Physics</topic><topic>Cameras</topic><topic>Collimators</topic><topic>Computational Mathematics and Numerical Analysis</topic><topic>Computer-assisted image processing</topic><topic>Constraining</topic><topic>Deviation</topic><topic>Engineering</topic><topic>High resolution</topic><topic>Image reconstruction</topic><topic>Image resolution</topic><topic>Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Molecular imaging</topic><topic>Monte Carlo method</topic><topic>Monte Carlo simulation</topic><topic>Nuclear Medicine</topic><topic>Original Research</topic><topic>Photomultiplier tubes</topic><topic>Pinholes</topic><topic>Radiology</topic><topic>Rotation</topic><topic>Sensitivity</topic><topic>Sensors</topic><topic>Simulation models</topic><topic>SPECT</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Strugari, Matthew E.</creatorcontrib><creatorcontrib>DeBay, Drew R.</creatorcontrib><creatorcontrib>Beyea, Steven D.</creatorcontrib><creatorcontrib>Brewer, Kimberly D.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>EJNMMI physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Strugari, Matthew E.</au><au>DeBay, Drew R.</au><au>Beyea, Steven D.</au><au>Brewer, Kimberly D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>NEMA NU 1-2018 performance characterization and Monte Carlo model validation of the Cubresa Spark SiPM-based preclinical SPECT scanner</atitle><jtitle>EJNMMI physics</jtitle><stitle>EJNMMI Phys</stitle><addtitle>EJNMMI Phys</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>10</volume><issue>1</issue><spage>35</spage><epage>35</epage><pages>35-35</pages><artnum>35</artnum><issn>2197-7364</issn><eissn>2197-7364</eissn><abstract>Background
The Cubresa Spark is a novel benchtop silicon-photomultiplier (SiPM)-based preclinical SPECT system. SiPMs in SPECT significantly improve resolution and reduce detector size compared to preclinical cameras with photomultiplier tubes requiring highly magnifying collimators. The NEMA NU 1 Standard for Performance Measurements of Gamma Cameras provides methods that can be readily applied or extended to characterize preclinical cameras with minor modifications. The primary objective of this study is to characterize the Spark according to the NEMA NU 1-2018 standard to gain insight into its nuclear medicine imaging capabilities. The secondary objective is to validate a GATE Monte Carlo simulation model of the Spark for use in preclinical SPECT studies.
Methods
NEMA NU 1-2018 guidelines were applied to characterize the Spark’s intrinsic, system, and tomographic performance with single- and multi-pinhole collimators. Phantoms were fabricated according to NEMA specifications with deviations involving high-resolution modifications. GATE was utilized to model the detector head with the single-pinhole collimator, and NEMA measurements were employed to tune and validate the model. Single-pinhole and multi-pinhole SPECT data were reconstructed with the Software for Tomographic Image Reconstruction and HiSPECT, respectively.
Results
The limiting intrinsic resolution was measured as 0.85 mm owing to a high-resolution SiPM array combined with a 3 mm-thick scintillation crystal. The average limiting tomographic resolution was 1.37 mm and 1.19 mm for the single- and multi-pinhole collimators, respectively, which have magnification factors near unity at the center of rotation. The maximum observed count rate was 15,400 cps, and planar sensitivities of 34 cps/MBq and 150 cps/MBq were measured at the center of rotation for the single- and multi-pinhole collimators, respectively. All simulated tests agreed well with measurement, where the most considerable deviations were below 7%.
Conclusions
NEMA NU 1-2018 standards determined that a SiPM detector mitigates the need for highly magnifying pinhole collimators while preserving detailed information in projection images. Measured and simulated NEMA results were highly comparable with differences on the order of a few percent, confirming simulation accuracy and validating the GATE model. Of the collimators initially provided with the Spark, the multi-pinhole collimator offers high resolution and sensitivity for organ-specific imaging of small animals, and the single-pinhole collimator enables high-resolution whole-body imaging of small animals.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37261574</pmid><doi>10.1186/s40658-023-00555-6</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-8045-9126</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animal imaging instrumentation Animals Applied and Technical Physics Cameras Collimators Computational Mathematics and Numerical Analysis Computer-assisted image processing Constraining Deviation Engineering High resolution Image reconstruction Image resolution Imaging Medicine Medicine & Public Health Molecular imaging Monte Carlo method Monte Carlo simulation Nuclear Medicine Original Research Photomultiplier tubes Pinholes Radiology Rotation Sensitivity Sensors Simulation models SPECT |
title | NEMA NU 1-2018 performance characterization and Monte Carlo model validation of the Cubresa Spark SiPM-based preclinical SPECT scanner |
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