Generalization Ability of a CNN γ-ray Localization Model for Radiation Imaging

分类： 物理学 >> 核物理学 提交时间： 2023-10-15

LU,Wei ZHANG,Haiwei LIU,Mingzhe L,Haoxuan TUO,Xianguo WANG， Lei

摘要： In -ray imaging, localization of the -ray interaction in the scintillator is critical. Convolutional neural network (CNN) techniques are highly promising for improving -ray localization. Our study evaluated the generalization capabilities of a CNN localization model with respect to the -ray energy and thickness of the crystal. The model maintained a high positional linearity (PL) and spatial resolution (SR) for ray energies between 591460 keV. The PL at the incident surface of the detector was 0.99, and the resolution of the central incident point source ranged between 0.521.19 mm. In modified uniform redundant array (MURA) imaging systems using a thick crystal, the CNN -ray localization model significantly improved the useful field-of-view (UFOV) from 60.32% to 93.44% compared to the classical centroid localization methods. Additionally, the signal-to-noise ratio (SNR) of the reconstructed images increased from 0.95 to 5.63.

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