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dc.creatorTheodorakis L., Loudos G., Prassopoulos V., Kappas C., Tsougos I., Georgoulias P.en
dc.date.accessioned2023-01-31T10:07:44Z
dc.date.available2023-01-31T10:07:44Z
dc.date.issued2015
dc.identifier10.1097/MNM.0000000000000381
dc.identifier.issn01433636
dc.identifier.urihttp://hdl.handle.net/11615/79674
dc.description.abstractBackground Lutetium-based scintillators with highperformance electronics introduced time-of-flight (TOF) reconstruction in the clinical setting. Let G′ be the total signal to noise ratio gain in a reconstructed image using the TOF kernel compared with conventional reconstruction modes. G′ is then the product of G1 gain arising from the reconstruction process itself and (n.1) other gain factors (G2, G3,...Gn) arising from the inherent properties of the detector. Methods We calculated G2 and G3 gains resulting from the optimization of the coincidence and energy window width for prompts and singles, respectively. Both quantitative and image-based validated Monte Carlo models of Lu2SiO5 (LSO) TOF-permitting and Bi4Ge3O12 (BGO) TOFnonpermitting detectors were used for the calculations. Results G2 and G3 values were 1.05 and 1.08 for the BGO detector and G3 was 1.07 for the LSO. A value of almost unity for G2 of the LSO detector indicated a nonsignificant optimization by altering the energy window setting. G′ was found to be ~1.4 times higher for the TOF-permitting detector after reconstruction and optimization of the coincidence and energy windows. Conclusion The method described could potentially predict image noise variations by altering detector acquisition parameters. It could also further contribute toward a long-lasting debate related to cost-efficiency issues of TOF scanners versus the non-TOF ones. Some vendors re-engage nowadays to non-TOF product line designs in an effort to reduce crystal costs. Therefore, exploring the limits of image quality gain by altering the parameters of these detectors remains a topical issue. © 2015 Wolters Kluwer Health, Inc. All rights reserved.en
dc.language.isoenen
dc.sourceNuclear Medicine Communicationsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84946490342&doi=10.1097%2fMNM.0000000000000381&partnerID=40&md5=517c865aa60e83c427ba1a3237c7f1e1
dc.subjectArticleen
dc.subjectcomputer assisted emission tomographyen
dc.subjectcomputer simulationen
dc.subjectcost effectiveness analysisen
dc.subjectdigital imaging and communications in medicineen
dc.subjectenergyen
dc.subjectimage qualityen
dc.subjectMonte Carlo methoden
dc.subjectPET-CT scanneren
dc.subjectphysicsen
dc.subjectquantitative analysisen
dc.subjectradiation attenuationen
dc.subjectradiological parametersen
dc.subjectsignal noise ratioen
dc.subjectimage processingen
dc.subjectpositron emission tomographyen
dc.subjectproceduresen
dc.subjectsignal noise ratioen
dc.subjecttheoretical modelen
dc.subjectImage Processing, Computer-Assisteden
dc.subjectModels, Theoreticalen
dc.subjectMonte Carlo Methoden
dc.subjectPositron-Emission Tomographyen
dc.subjectSignal-To-Noise Ratioen
dc.subjectLippincott Williams and Wilkinsen
dc.titleProspective PET image quality gain calculation method by optimizing detector parametersen
dc.typejournalArticleen


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