Coded Aperture Computed Tomography Via Generative Adversarial U-net

Coded Aperture Computed Tomography Via Generative Adversarial U-net

Generative adversarial U-net for coded aperture computed tomography (CT) is proposed in this paper to alleviate the tradeoff between the non-continuous sparse projections and the ill-posedness iterative reconstruction problem. A non-continuous sparse projection model is presented based on generative...

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Bibliographic Details
Main Authors: Zhiteng WANG, Tianyi MAO, Xin ZHANG, Shujin ZHU, Jianjian ZHU, Xiubin DAI
Format: Article
Language:English
Published: Editorial Office of Computerized Tomography Theory and Application 2022-06-01
Series:CT Lilun yu yingyong yanjiu
Subjects:
computed tomography
coded aperture
generative adversarial net
Online Access:https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2021.070

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