A design implementation of the Central Process Module for an In-Beam PET in HICTD
A design implementation of the Central Process Module for an In-Beam PET in HICTD
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HICTD 中束内 PET 中央处理模块的设计实现
DOI：
10.1016/j.nima.2021.165572
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发表时间：
2021-10
期刊：
影响因子：
--
通讯作者：
Kong J.
中科院分区：
文献类型：
--
作者：
Ke L. Y.;Yan J. W.;Chen J. D.;Zhang X. L.;Wang C. X.;Du C. M.;Hu M. C.;Yang Z. Q.;Qian Y.;She Q. S.;Yang H. B.;Zhao H. Y.;Pu T. L.;Pei C. X.;Su H.;Kong J.
为了监测兰州重离子肿瘤治疗装置（Heavy-Ion Cancer Therapy Device，简称重离子肿瘤治疗装置）在粒子治疗过程中对患者的照射剂量和照射位置，设计了一台正电子发射断层扫描仪（In-Beam Positron Emission Tomography，简称PET），用于获取重离子肿瘤治疗装置（Heavy-Ion Cancer Therapy Device，简称重离子肿瘤治疗装置）束线上湮灭事件产生的γ射线的时间、能量和位置信息。In-Beam PET采用16个探测块构成双头平面型探测器阵列，每个探测块由像素探测单元组成。采用数据采集单元（DAQU）作为处理模块，对来自检测块的信号进行处理和采样。每个DAQU面对一对检测块，目前该PET共有8个DAQU。本文介绍了一种为探测器阵列研制的中央处理器模块（CPM）。CPM有两个关键功能：首先，它作为一个集线器，通过光链路与所有的数据采集队列连接，进行数据传输和状态控制;其次，它作为一个数据处理引擎，从不同的数据采集队列中收集数据，并将事件按时间顺序排序，进行符合事件的判别; CPM中采用了一种新的并行排序算法，可以有效地对检测块检测到的有效事件进行排序。在实验中对CPM的关键性能进行了评估。该系统每秒至少能处理1600万个事件，能够有效地对符合事件进行分类和鉴别。
To monitor the irradiation dose and position accurately delivered to patient during particle therapy in Heavy-Ion Cancer Therapy Device (HICTD) in Lanzhou, China, an In-Beam Positron Emission Tomography (PET) has been designed as a detection device to obtain time, energy and position information of gamma ray generated from the annihilation event, which is equipped at the beam line of HICTD. Sixteen detection blocks are adopted to construct a Dual-Head Planar-Type detector array in the In-Beam PET, and each detection block is composed of pixel detection elements. Data Acquisition Unit (DAQU) is employed as the processing module to process and digitize signals from detection blocks. Each DAQU faces a pair of detection blocks, there are eight DAQUs in total in this PET at present. A Central Processor Module (CPM) developed for the detector array is presented in this paper. CPM has two crucial functions: first it is as a hub to connect with all DAQUs through the optical links for data transfer and state control, second it is as a data process engine which collects data from different DAQUs and sorts the events into the chronological order for coincidence event discrimination, and then interfaces both control signals and event data to a host server through PCIe interface for image reconstruction. A novel parallel sorting algorithm has been explored and adopted in CPM, which can effectively sort the valid events detected by detection blocks. The key performance of the CPM has been evaluated in experiments. It can handle the events up to 16 million per second at least, which is capable of sorting and discriminating coincidence events efficiently.
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影响因子：
3.6
作者：
Jin-da Chen;Hushan Xu;Zheng-guo Hu;R. F. Chen;B. Tang;K. Yue;Yu-hong Yu-Yu-hong-Yu-92418664;Xue-Heng Zhang;J. Kong;Y. Zang;Jian-song Wang;Zhili Sun;Zhong-yan Guo
通讯作者：
Jin-da Chen;Hushan Xu;Zheng-guo Hu;R. F. Chen;B. Tang;K. Yue;Yu-hong Yu-Yu-hong-Yu-92418664;Xue-Heng Zhang;J. Kong;Y. Zang;Jian-song Wang;Zhili Sun;Zhong-yan Guo
DOI：
10.37591/jovdtt.v8i1.479
发表时间：
2018-04
期刊：
--
影响因子：
--
作者：
Shivani Malhotra;N. R. Prakash
通讯作者：
Shivani Malhotra;N. R. Prakash
重离子肿瘤治疗仪PET信号能量校正算法评估
影响因子：
2.7
作者：
Niu Xiaoyang;Yan Junwei;Wang Xiaohui;Yang Haibo;Ke Lingyun;Chen Jinda;Du Chengming;Zhang Xiuling;Zhao Chengxin;Kong Jie;Su Hong
通讯作者：
Su Hong
DOI：
--
发表时间：
2009
期刊：
--
影响因子：
--
作者：
Roberto Perez-Andrade;R. Cumplido;C. Feregrino-Uribe;Fernando Martin del Campo
通讯作者：
Roberto Perez-Andrade;R. Cumplido;C. Feregrino-Uribe;Fernando Martin del Campo
影响因子：
1.6
作者：
Zibo Wang;Wei Chen;Yao Zhibin-;Fengqi Zhang;Luo Yinhong-;Xiaobin Tang;Xiaoqiang Guo;L. Ding;Cong Peng
通讯作者：
Zibo Wang;Wei Chen;Yao Zhibin-;Fengqi Zhang;Luo Yinhong-;Xiaobin Tang;Xiaoqiang Guo;L. Ding;Cong Peng