A new contrast-to-noise ratio for image quality characterization of a coded-aperture γ camera

Autor: Qi Chen, Chaoyang Zhao, Qichang Huang, Yulong Li, Chaowen Yang, Zhonghai Wang, Peiwen Qi, R. Zhou, Xiaoqin Mao, Tai Gao, Mingrui Tao, Qianru Zhao, Balin Zhu
Rok vydání: 2021
Předmět:
Zdroj: Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine. 170
ISSN: 1872-9800
Popis: The gamma-ray imaging technique was developed and is widely used in several nuclear engineering fields. Specifically, compared with the traditional point-by-point radiation detector, the coded-aperture gamma camera has advantages of a wide field of view, high angular resolution, and high efficiency. Several methods for characterizing image quality, including the figure of merit (FOM) method and the contrast-to-noise ratio (CNR) method, were assessed and developed. These methods have their respective drawbacks depending on the circumstances. The FOM lacks reliability in exhibiting the impact of background noise fluctuation on the purity of a real image. The CNR characterizes image quality with inconsistent sensitivity while the source moves along the X and Y directions. Therefore, a new CNR method was proposed to achieve better performance and greater consistency in real imaging. With our coded-aperture imaging system developed in the laboratory, we performed simulations within the MATLAB and Geant4 platforms and real imaging experiments to analyze and compare images and the results of these three characterization methods. The results show that the new CNR method is reliable and practical in regard to real imaging performance.
Databáze: OpenAIRE
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