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Updated: Feb 8, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
Published on: January 30, 2020
Self-adaption Compton imaging algorithm for a quasi-point source
Guo Xiaofeng1, Xiang Qingpei2, Tian Dongfeng2
1Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics, Mianyang 621900, China; Department of Engineering Physics, Tsinghua University, Beijing 100084, China.
Abstract:
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.
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