GCR-Net: 3D Graph convolution-based residual network for robust reconstruction in cerenkov luminescence tomography

Weitong Li; Mengfei Du; Yi Chen; Haolin Wang; Linzhi Su; Huangjian Yi; Fengjun Zhao; Kang Li; Lin Wang; Xin Cao

doi:10.1142/S179354582245002X

Journal of Innovative Optical Health Sciences, Volume. 16, Issue 1, 2245002(2023)

GCR-Net: 3D Graph convolution-based residual network for robust reconstruction in cerenkov luminescence tomography

Weitong Li1...1,2, Mengfei Du1,1,2, Yi Chen1,1,2, Haolin Wang1,1,2, Linzhi Su1,1,2,*, Huangjian Yi1,1, Fengjun Zhao1,1, Kang Li1,1,2, Lin Wang, and Xin Cao1,12,** |Show fewer author(s)

Author Affiliations

¹School of Information Science and Technology, Northwest University, Xi’an, Shaanxi 710127, P. R. China

¹Xi’an University of Technology, Xi’an, Shaanxi 710127, P. R. China

²National and Local Joint Engineering Research Center for Cultural Heritage Digitization, Xi’an, Shaanxi 710127, P. R. China

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Weitong Li, Mengfei Du, Yi Chen, Haolin Wang, Linzhi Su, Huangjian Yi, Fengjun Zhao, Kang Li, Lin Wang, Xin Cao. GCR-Net: 3D Graph convolution-based residual network for robust reconstruction in cerenkov luminescence tomography[J]. Journal of Innovative Optical Health Sciences, 2023, 16(1): 2245002

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Paper Information

Category: Research Articles

Received: Jul. 28, 2022

Accepted: Sep. 7, 2022

Published Online: Feb. 21, 2023

The Author Email: Su Linzhi (sulinzhi029@163.com), Cao Xin (xin_cao@163.com)

DOI:10.1142/S179354582245002X

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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