Self-adaption Compton imaging algorithm for a quasi-point source

被引:0
|
作者
Guo Xiaofeng [1 ,2 ]
Xiang Qingpei [1 ]
Tian Dongfeng [1 ]
Hao Fanhua [1 ]
Wang Yi [2 ]
Zhang Yingzeng [1 ]
机构
[1] China Acad Engn Phys, Inst Nucl Phys & Chem, Mianyang 621900, Peoples R China
[2] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Compton imaging; Self-adaption; Backward-scattering; Monte Carlo simulation; GAMMA-CAMERA; IMAGER; PERFORMANCE; TELESCOPE;
D O I
10.1016/j.apradiso.2018.06.006
中图分类号
O61 [无机化学];
学科分类号
070301 ; 081704 ;
摘要
Compton imaging is a promising technology for various applications including nuclear safety, nuclear medicine, and astrophysics. For quasi-point-source applications, which are widely found in practice, a novel Compton imaging algorithm incorporating the concept of self-adaption is proposed that provides excellent precision and high efficiency. In particular, this algorithm significantly improves the imaging precision of backward-scattering imaging events so that they can be revived for reconstruction without degrading image quality. From Monte Carlo simulations, a comparison between the self-adaption Compton imaging algorithm and the conventional Compton imaging algorithm was conducted, and the feasibility and reliability of this algorithm was verified in various scenarios.
引用
收藏
页码:41 / 49
页数:9
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