硅光电倍增管
编码孔径
材料科学
探测器
伽玛照相机
光学
信噪比(成像)
Crystal(编程语言)
光圈(计算机存储器)
图像分辨率
校准
光电倍增管
溶血酶-
信号(编程语言)
分辨率(逻辑)
光电子学
物理
闪烁体
计算机科学
量子力学
人工智能
声学
程序设计语言
作者
Wen He,Yingjie Wang,Xiuzuo Liang,Wei Zhou,Meiling Zhu,Xiaorou Han,Jiajia Zhai,Xiangtao Zeng,Baotong Feng,Haohui Tang,Daowu Li,Zhiming Zhang,Long Wei,Xianchao Huang
摘要
A 50 × 50 × 10 mm3 monolithic gadolinium aluminum gallium garnet (Gd3Al2Ga3O12; GAGG):Ce crystal coupled to a 8 × 8 silicon photomultiplier (SiPM) array was developed; it showed very good system uniformity and a high energy resolution of 7.4% at 662 keV. By using a convolutional neural network-based positioning algorithm and a fan-beam calibration method, the detector achieved a position resolution of ∼1.4 mm and a depth of interaction resolution of ∼2 mm. Based on this high-performance monolithic detector, we developed a coded aperture gamma camera. A 1-mCi Cs-137 source centered at a 2-m distance from the mask could be reconstructed with a signal-to-noise ratio of 6.5 in 1 s. Furthermore, the imaging ability of a low-energy Am-241 source and a low-activity Cs-137 source when the background-to-signal ratio was approximately 1:1 and a double low-activity source (Cs-137 and Na-22) was demonstrated. It is shown that the monolithic-crystal-based coded aperture gamma camera can achieve high performance and has a large potential for further improvement.
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