Researching | Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm

NUCLEAR TECHNIQUES, Volume. 48, Issue 4, 040402(2025)

Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm

Wenrui XU^1,2, Yushou SONG^1、*, Chunzhi ZHOU^2、**, Yingwei HOU¹, and Huilan LIU¹

Author Affiliations

¹College of Nuclear Science and Technology, Harbin Engineering University, Harbin 150001, China

²State Key Laboratory of Nuclear Biochemistry Protection for Civilian, Beijing 102205, China

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References(18)

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[6] Zhang R, Gong P, Tang X B et al. Reconstruction method for gamma-ray coded-aperture imaging based on convolutional neural network[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 934, 41-51(2019).

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Wenrui XU, Yushou SONG, Chunzhi ZHOU, Yingwei HOU, Huilan LIU. Effect of datasets on imaging quality of coded aperture γ camera based on convolutional neural network algorithm[J]. NUCLEAR TECHNIQUES, 2025, 48(4): 040402

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Paper Information

Category: NUCLEAR ELECTRONICS AND INSTRUMENTATION

Received: Sep. 10, 2024

Accepted: --

Published Online: Jun. 3, 2025

The Author Email: Yushou SONG (宋玉收), Chunzhi ZHOU (周春芝)

DOI:10.11889/j.0253-3219.2025.hjs.48.240370

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