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...

Full description

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:English
Published: Nature Publishing Group 2018-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-018-25153-w

Internet

https://doi.org/10.1038/s41598-018-25153-w

Similar Items