A preliminary study on 3D position reconstruction of monolithic crystal readout
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ORIGINAL PAPER
A preliminary study on 3D position reconstruction of monolithic crystal readout Wen He1,2 · Xianchao Huang1 · Yingjie Wang1 · Baotong Feng1 · Meiling Zhu1 · Shuangquan Liu1 · Zhiming Zhang1,2 · Long Wei1,2 Received: 21 July 2020 / Revised: 26 October 2020 / Accepted: 10 November 2020 © Institute of High Energy Physics, Chinese Academy of Sciences 2020
Abstract Purpose Compared to pixelated crystal detectors, monolithic crystal detectors present more advantages. Without reflective layer between crystal pixel, monolithic crystal detectors provide higher detection efficiency while being cheaper. Another important feature is that monolithic crystal detectors can provide depth of interaction (DOI) information, which can improve image quality in nuclear imaging systems. In this article, we aim to study a new positioning scheme of this kind of detector in order to push its applications in nuclear imaging systems. Methods Fan-beam collimation and convolutional neural network are combined to reconstruct interaction points in crystal. Firstly, we built a monolithic detector model based on Geant4 and validated this positioning scheme with simulation data. Then, we constructed a monolithic GAGG(Ce) detector and evaluated its performance with experimental data. Results With proposed positioning scheme, in experiment, we obtained ~ 1.7 mm FWHM resolution on average in x-/ydirection, while ~ 2.5 mm FWHM resolution on average in DOI direction for a 33 × 33 × 10 mm3 monolithic GAGG(Ce) crystal coupled with 8 × 8 SiPM array. Conclusion Through simulations and experiments, we validated our positioning scheme, i.e., fan-beam collimation and convolutional neural network. Convolutional neural network can reconstruct 3D positions of gamma-rays interaction points in a high resolution, and fan-beam collimation can provide high calibration efficiency; with combination of them, we established a high position resolution and high calibration efficiency positioning scheme for monolithic crystal detector. Keywords Monolithic crystal · 3D-position reconstruction · Convolutional neural network · Fan-beam calibration · Positron emission tomography · Gamma camera
Introduction In the field of nuclear imaging—which includes gamma cameras, positron emission tomography (PET), and Compton cameras—scintillation detector is dominated by pixelated crystals due to their high position resolution and Anger logic effectiveness, while there is another kind of detector based on monolithic crystal that has great potential to be an alternative to conventional pixelated crystals. Compared to pixelated
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Xianchao Huang [email protected]
1
Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
2
School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
crystal detectors, the most significant feature of monolithic crystal is that it can provide DOI information, which can lead to better ima
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