Author:
Wang M.,Wang Y.,Zhang X.,Song Z.,Zhou X.,Hu Y.,Zhou Y.,Wu B.
Abstract
Abstract
Due to the high cost and large channel number in positron
emission tomography (PET) systems, the integration level and cost
performance must be considered in the construction of commercial PET
systems. In this paper, a highly integrated readout electronic
system was designed and implemented based on a self-developed FESA
(Front End for SiPM Arrays) readout ASIC; a compact cost-effective
detector module with four lined up detector heads was built, and its
performance was evaluated. Each detector head consisted of a
24× 24 LYSO crystal array (each crystal element had
dimensions of 0.99 × 0.99 × 15 mm3), one end
coupling to an 8 × 8 silicon photomultiplier array (SiPM array
with dimensions of 3.2 × 3.2 mm2 each), and the other
end covered with a 1 mm thick light guide layer. Since the
front-end FESA readout chip employed a row-column summing circuit to
reduce the readout channels from 64 to 16, we tried a new depth
encoding method based on a single-end readout with the
structure. The test results showed that the average coincidence time
resolution (CTR), energy resolution, and depth of interaction (DOI)
resolution of the detector are 413 ps, 15.7%, and 5.2 mm,
respectively, while the crystal array in the detector head with
9-to-1 coupling can be clearly separated in the flood
image. Compared with the detector head without the depth encoding
ability, the clearness of the flood image was slightly decreased,
but the energy resolution and time performance remained the same. We
also implemented a central control board that connected all detector
modules via fiber connections. The data from the detector modules
could be collected over the connections, and the system central
clock could be precisely distributed; therefore, the compactness of
the electronics system was further enhanced.
Subject
Mathematical Physics,Instrumentation
Cited by
1 articles.
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1. Decision Tree-Based Demultiplexing for Prism-PET;IEEE Transactions on Nuclear Science;2023-07