DocumentCode
2845661
Title
Impact of instrumentation parameters on the performance of neural network based positioning algorithms for monolithic scintillator blocks
Author
Bruyndonckx, Peter ; Zhi, Li ; Lemaitre, Cedric ; Perez, Jose M. ; Rato, Pedro ; Schaart, Dennis ; Maas, M. ; Van Der Laan, D.J. ; Tavernier, Stefaan ; Yonggang, Wang
Author_Institution
Vrije Univ. Brussel, Brussels
Volume
6
fYear
2007
fDate
Oct. 26 2007-Nov. 3 2007
Firstpage
4266
Lastpage
4270
Abstract
The information embedded in the light distribution generated in monolithic scintillator blocks allows the incidence position of an impinging 511 keV gamma to be estimated with an average resolution of 1.8 mm FWHM. To study which instrumentation parameters limit the performance, a validated Monte Carlo simulation was used. It was concluded that the preamplifier noise of 600 electrons rms was the most limiting factor since all other parameters in the set-up such as a photon beam width of 1 mm FWHM, beam step size of 250 mum and an ADC resolution of 12 bits are already at an optimal level. The indiscernible presence of events that undergo multiple interactions in the scintillator block also adds 0.2 mm to the achievable FWHM resolution.
Keywords
Monte Carlo methods; analogue-digital conversion; biomedical electronics; field programmable gate arrays; medical computing; neural nets; positron emission tomography; solid scintillation detectors; ADC resolution; FPGA implementation; FWHM resolution; Monte Carlo simulation; PET detectors; electron volt energy 511 keV; instrumentation parameters; light distribution; monolithic scintillator blocks; neural network based positioning algorithms; preamplifier equivalence noise charge; size 1 mm; size 250 mum; Data acquisition; Detectors; Instruments; Neural networks; Noise level; Nuclear and plasma sciences; Optical noise; Optical scattering; Photonic crystals; Preamplifiers;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
Conference_Location
Honolulu, HI
ISSN
1095-7863
Print_ISBN
978-1-4244-0922-8
Electronic_ISBN
1095-7863
Type
conf
DOI
10.1109/NSSMIC.2007.4437059
Filename
4437059
Link To Document