DocumentCode
1064230
Title
Timing Improvement by Low-Pass Filtering and Linear Interpolation for the LabPET Scanner
Author
Fontaine, Réjean ; Lemieux, François ; Viscogliosi, Nicolas ; Tétrault, Marc-André ; Bergeron, Mélanie ; Riendeau, Joel ; Bérard, Philippe ; Cadorette, Jules ; Lecomte, Roger
Author_Institution
Univ. de Sherbrooke, Sherbrooke
Volume
55
Issue
1
fYear
2008
Firstpage
34
Lastpage
39
Abstract
Digital processing for positron emission tomography (PET) scanners commonly relies on low frequency sampling (MHz) to reduce power consumption. Timestamps must then be interpolated between samples to achieve adequate time resolution for coincidence detection of annihilation radiation. A low-pass filter based interpolation algorithm adding up to 31 samples between original samples was designed to improve timing resolution of the LabPET scanner. A 2-bit refinement in the determination of the pulse maximum amplitude leads to a better estimation of the triggering threshold, which in turn enables a more accurate timestamp generation. Timestamp accuracy was investigated as a function of trigger level (15%-50% of maximum value). With the trigger threshold set at 20%, coincidence time resolution of ns for LYSO-LYSO and ns for LGSO-LGSO are obtained. A real time implementation of the algorithm was achieved in a Xilinx FPGA.
Keywords
coincidence techniques; interpolation; low-pass filters; positron emission tomography; LabPET scanner; Xilinx FPGA; coincidence detection; digital processing; linear interpolation; low-pass filter based interpolation algorithm; low-pass filtering; positron emission tomography; Energy consumption; Filtering; Frequency; Interpolation; Low pass filters; Nonlinear filters; Positron emission tomography; Radiation detectors; Sampling methods; Timing; Digital signal processing; filtered interpolation; position emission tomography (PET); timestamp generation;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/TNS.2007.911883
Filename
4448479
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