Calibration procedure for a DOI detector of high resolution PET through mixture Gaussian model

E. Yoshida, Y. Kimura, K. Kitamura, H. Murayama
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引用次数: 5

Abstract

A depth of interaction (DOI) detector is developed for the next generation of PET scanners. The detector unit consists of 8/spl times/8 crystal blocks with 4 layers of 2/spl times/2 Gd/sub 2/SiO/sub 5/:Ce (GSO) arrays coupled to a 52 mm square position sensitive photomultiplier tube (PS-PMT). Each scintillation event is mapped in a two-dimensional (2D) distribution through the relative ratio of the output signals of the PS-PMT. To facilitate high spatial resolution imaging, accurate crystal identification is needed. A statistical model based on the approach of a mixture Gaussian model (MGM) is introduced for crystal identification. In the MGM, a cluster center and range attributed to individual peaks in the 2D distribution are defined. The MGM method is applied two times, once for the cluster centers and once for determination of the range. These results are used to generate a Look-Up-Table (LUT). This method successfully identifies 288 crystal elements composing 36 crystal blocks.
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基于混合高斯模型的高分辨率PET DOI探测器标定程序
开发了用于下一代PET扫描仪的相互作用深度(DOI)检测器。探测器单元由8/spl倍/8块晶体块组成,其中4层2/spl倍/2 Gd/sub 2/SiO/sub 5/:Ce (GSO)阵列与52 mm方形位置敏感光电倍增管(PS-PMT)耦合。每个闪烁事件通过PS-PMT输出信号的相对比例映射成二维(2D)分布。为了实现高空间分辨率成像,需要精确的晶体识别。介绍了一种基于混合高斯模型方法的晶体识别统计模型。在MGM中,定义了二维分布中归属于单个峰的簇中心和范围。MGM方法应用了两次,一次用于聚类中心,一次用于范围的确定。这些结果用于生成一个查找表(LUT)。该方法成功识别了组成36个晶块的288个晶元。
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