Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction

Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction

Abstract Sparse-view Reconstruction can be used to provide accelerated low dose CT imaging with both accelerated scan and reduced projection/back-projection calculation. Despite the rapid developments, image noise and artifacts still remain a major issue in the low dose protocol. In this paper, a de...

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Bibliographic Details
Main Authors: Shipeng Xie, Xinyu Zheng, Yang Chen, Lizhe Xie, Jin Liu, Yudong Zhang, Jingjie Yan, Hu Zhu, Yining Hu
Format: article
Language:EN
Published: Nature Portfolio 2018
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/b8cc37968daf44898d6e86aee02c35ce
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