Author: Poladyan, Harutyun; Bubon, Oleksandr; Teymurazyan, Aram; Senchurov, Sergii; Reznik, Alla
Title: Gaussian position weighted center of gravity algorithm for multiplexed readout. Cord-id: 500clk1r Document date: 2020_5_14
ID: 500clk1r
Snippet: Readout signal multiplexing is a commonly used method to reduce the electronics cost in PET systems, and calculation of the scintillation coordinates typically is done by using a Center of Gravity (CoG) technique due to its simplicity and ease of implementation. This comes with a drawback, since CoG has a non-linear response at the periphery of the detector due to the lack of weights beyond the detector. Detectors with multiplexed readout that are based on finely segmented scintillators and coar
Document: Readout signal multiplexing is a commonly used method to reduce the electronics cost in PET systems, and calculation of the scintillation coordinates typically is done by using a Center of Gravity (CoG) technique due to its simplicity and ease of implementation. This comes with a drawback, since CoG has a non-linear response at the periphery of the detector due to the lack of weights beyond the detector. Detectors with multiplexed readout that are based on finely segmented scintillators and coarsely segmented photosensors are known to suffer from the so called edge effect where a pile-up of the reconstructed coordinates from the edge crystals is observed. This may lead to incorrect assignment of the events to crystal pixels and result in formation of erroneous lines of response causing a degradation of spatial resolution and reduction of image contrast. To overcome abovementioned limitations in gamma ray detectors with multiplexed photosensor readout, we propose to use modified Gaussian Position Weighted Center of Gravity technique for calculation of gamma ray interaction position. Here the proposed method is applied to PET detectors with 24×24 LYSO crystals read out by 8 × 8 SiPM array with 64:16 row/column multiplexing. Furthermore, we compared the modified Gaussian Position Weighted Center of Gravity (PW-CoG) and Truncated Center of Gravity (TCoG) coordinate reconstruction methods. It was observed that both algorithms resolve peaks corresponding to events registered in the crystal pixels on the periphery of the crystal array, however peak-to-valley ratios and crystal resolvability metrics for PW-CoG algorithm are generally greater.
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