DocumentCode :
1287933
Title :
A count rate model for PET and its application to an LSO HR PLUS scanner
Author :
Moisan, C. ; Rogers, J.G. ; Douglas, J.L.
Author_Institution :
TRIUMF, Vancouver, BC, Canada
Volume :
44
Issue :
3
fYear :
1997
fDate :
6/1/1997 12:00:00 AM
Firstpage :
1219
Lastpage :
1224
Abstract :
Considering a standard 20×20 cm phantom in the field-of-view of a cylindrical, septaless tomograph, the count rate model computes the acceptance to prompt and random events from simple geometric considerations. Dead time factors at all stages of a typical event acquisition architecture are calculated from specified processing clock cycles. Validations of the model´s predictions against the measured performances of the ECAT-953B and the EXACT HR PLUS are presented. The model is then used to investigate the benefit of using detectors made of LSO in the EXACT HR PLUS scanner geometry. The results indicate that in replacing BGO by the faster LSO, one can count on an increase of the peak noise-equivalent-count rate by a factor 2.2. This gain will be achieved by using a 5 nsec coincidence window, buckets operating on a 128 nsec clock cycle, and a front-end data acquisition that can sustain a total event rate of 2.9 MHz
Keywords :
biomedical equipment; data acquisition; gamma-ray detection; lutetium compounds; photon counting; positron emission tomography; solid scintillation detectors; 128 ns; 2.9 MHz; 20×20 cm phantom; 5 ns; ECAT-953B; EXACT HR PLUS; LSO HR PLUS scanner; Lu2SiO5; PET; acquisition architecture; buckets; coincidence window; count rate model; cylindrical septaless tomograph; dead time factors; field-of-view; front-end data acquisition; peak noise-equivalent-count rate; processing clock cycles; prompt events; random events; simple geometric considerations; Clocks; Computer architecture; Detectors; Geometry; Imaging phantoms; Performance evaluation; Positron emission tomography; Predictive models; Solid modeling; Time factors;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.596991
Filename :
596991
Link To Document :
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