20 December 2016 Modularized compact positron emission tomography detector for rapid system development
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We report the development of a modularized compact positron emission tomography (PET) detector that outputs serial streams of digital samples of PET event pulses via an Ethernet interface using the UDP/IP protocol to enable rapid configuration of a PET system by connecting multiple such detectors via a network switch to a computer. Presently, the detector is 76    mm × 50    mm × 55    mm in extent (excluding I/O connectors) and contains an 18 × 12 array of 4.2 × 4.2 × 20    mm 3 one-to-one coupled lutetium-yttrium oxyorthosilicate/silicon photomultiplier pixels. It employs cross-wire and stripline readouts to merge the outputs of the 216 detector pixels to 24 channels. Signals at these channels are sampled using a built-in 24-ch, 4-level field programmable gate arrays-only multivoltage threshold digitizer. In the computer, software programs are implemented to analyze the digital samples to extract event information and to perform energy qualification and coincidence filtering. We have developed two such detectors. We show that all their pixels can be accurately discriminated and measure a crystal-level energy resolution of 14.4% to 19.4% and a detector-level coincidence time resolution of 1.67 ns FWHM. Preliminary imaging results suggests that a PET system based on the detectors can achieve an image resolution of 1.6    mm .
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Daoming Xi, Daoming Xi, Xiang Liu, Xiang Liu, Chen Zeng, Chen Zeng, Wei Liu, Wei Liu, Yanzhao Li, Yanzhao Li, Yuexuan Hua, Yuexuan Hua, Xiongze Mei, Xiongze Mei, Heejong Kim, Heejong Kim, Peng Xiao, Peng Xiao, Chien-Min Kao, Chien-Min Kao, Qingguo Xie, Qingguo Xie, } "Modularized compact positron emission tomography detector for rapid system development," Journal of Medical Imaging 4(1), 011006 (20 December 2016). https://doi.org/10.1117/1.JMI.4.1.011006 . Submission: Received: 28 June 2016; Accepted: 21 November 2016
Received: 28 June 2016; Accepted: 21 November 2016; Published: 20 December 2016


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