DocumentCode
2804459
Title
A simulation model of the counting-rate response of clinical pet systems and it´s application to optimize the injected dose
Author
Karakatsanis, Nicolas ; Nikita, Konstantina
Author_Institution
Nat. Tech. Univ. of Athens, Athens, Greece
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
398
Lastpage
401
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.
Keywords
data acquisition; dosimetry; optimisation; phantoms; positron emission tomography; Geant4 application; clinical PET systems; count losses; counting-rate response; data acquisition; human phantoms; imaging systems; injected dose optimization; noise equivalent count rate; patient-scanner parameters; radioactive dose; tomography emission; Biological system modeling; Data acquisition; Design optimization; Geometry; Humans; Imaging phantoms; Noise level; Positron emission tomography; Predictive models; Protocols; Monte Carlo methods; Positron Emission Tomography; biomedical imaging; dose; optimization methods; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193068
Filename
5193068
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