A simulation model of the counting-rate response of clinical pet systems and it's application to optimize the injected dose

Karakatsanis, N; Nikita, K

dc.contributor.author	Karakatsanis, N	en
dc.contributor.author	Nikita, K	en
dc.date.accessioned	2014-03-01T02:45:56Z
dc.date.available	2014-03-01T02:45:56Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32462
dc.subject	Biomedical imaging	en
dc.subject	Dose	en
dc.subject	Monte carlo methods	en
dc.subject	Optimization methods	en
dc.subject	Positron emission tomography	en
dc.subject	Simulation	en
dc.subject.other	Biomedical imaging	en
dc.subject.other	Deadtime	en
dc.subject.other	Design Principles	en
dc.subject.other	Dose	en
dc.subject.other	Dose levels	en
dc.subject.other	Energy windows	en
dc.subject.other	Human phantoms	en
dc.subject.other	Noise equivalent count rates	en
dc.subject.other	Optimization methods	en
dc.subject.other	Patient size	en
dc.subject.other	Performance parameters	en
dc.subject.other	PET data	en
dc.subject.other	Rate response	en
dc.subject.other	Scanning time	en
dc.subject.other	Simulation	en
dc.subject.other	Simulation model	en
dc.subject.other	Statistical quality	en
dc.subject.other	Time windows	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Optimization	en
dc.subject.other	Optoelectronic devices	en
dc.subject.other	Positrons	en
dc.subject.other	Scanning	en
dc.subject.other	Simulators	en
dc.subject.other	Windows	en
dc.subject.other	Positron emission tomography	en
dc.title	A simulation model of the counting-rate response of clinical pet systems and it's application to optimize the injected dose	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISBI.2009.5193068	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISBI.2009.5193068	en
heal.identifier.secondary	5193068	en
heal.publicationDate	2009	en
heal.abstract	The design principles of clinical PET data acquisition protocols require images of high statistical quality, while the scanning time remains relatively short and the total amount of radioactive dose does not exceed a level, above which significant count losses are observed. This can be satisfied by determining a range of injected dose levels where the performance parameter of Noise Equivalent Count Rate (NECR) is maximized. However certain patient- and scanner-related parameters can shift the range. We propose a methodology to design a model of the NECR response to certain patient-scanner parameters, based on validated simulations of imaging systems and realistic human phantoms. We used Geant4 Application for Tomography Emission and investigated the relationship between the NECR and the patient size, the coincidence time window of the scanner, the dead-time of the system's electronics and the energy window. © 2009 IEEE.	en
heal.journalName	Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009	en
dc.identifier.doi	10.1109/ISBI.2009.5193068	en
dc.identifier.spage	398	en
dc.identifier.epage	401	en