@misc{oai:repo.qst.go.jp:00068625,
 author = {Yoshida, Eiji and Kitamura, Keishi and Kimura, Yuichi and Nishikido, Fumihiko and Shibuya, Kengo and Yamaya, Taiga and Murayama, Hideo and 吉田 英治 and 北村 圭司 and 木村 裕一 and 錦戸 文彦 and 澁谷 憲悟 and 山谷 泰賀 and 村山 秀雄},
 month = {May},
 note = {In a conventional PET detector, detected events are projected to 2D position histogram with Anger calculation for a crystal identification. However, the measured histogram is affected by inter-crystal scatterings (ICS) which occur in a whole detector. Peaks with projected each crystal in the histogram are blurred, and it causes ICS's mispositioning. A depth of interaction (DOI) detector has been developed for the small animal PET scanner: jPET-RD. This DOI detector uses 32 x 32 crystals with four layers and a 256-channel multi-anode flat panel photomultiplier tube (FP-PMT) was developed by Hamamatsu Photonics K.K. Each crystal element is 1.45 x 1.45 x 4.5 mm3. The FP-PMT has a large detective area (49 x 49 mm2) and small anode pitch (3.04 mm). Therefore, the FP-PMT can extensively trace the behavior of incident gamma rays in the crystals including ICS. We therefore propose a novel method for ICS estimation using a statistical pattern recognition based on the support vector machine (SVM). In this study, we applied the SVM for discriminating photoelectric events from ICS events generated from multiple-anode outputs. The SVM was trained by uniform irradiation events generated from a detector simulator using Monte Carlo calculation. Initial result of ICS identification is about 78 % for non-training data. This method can archive a true subtraction of ICS from measured events, and it is also useful for random correction in PET., 1st European Conference on Molecular Imaging Technology},
 title = {Inter-crystal scatter identification for a depth-sensitive detector using support vector machine for small animal PET},
 year = {2006}
}