Low-Dose X-ray CT Image Reconstruction Based on a Shearlet Transform and Denoising Autoencoder

2019 ◽  
Vol 9 (7) ◽  
pp. 1469-1473
Author(s):  
Wei Zhang ◽  
Yueyang Teng ◽  
Haiyan Wang ◽  
Yan Kang
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Ct Image ◽  
Denoising Autoencoder ◽  
Shearlet Transform ◽  
X Ray ◽  
Ct Image Reconstruction

An Adjustable Dynamic Self-Adapting OSEM Approach to Low-Dose X-Ray CT Image Reconstruction

2018 ◽  
pp. 385-396
Author(s):  
Jinhua Sheng ◽  
Bin Chen ◽  
Bocheng Wang ◽  
Yangjie Ma ◽  
Qingqiang Liu ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Ct Image ◽  
X Ray ◽  
Ct Image Reconstruction

scholarly journals Line Integral Alternating Minimization Algorithm for Dual-Energy X-Ray CT Image Reconstruction

2016 ◽  
Vol 35 (2) ◽  
pp. 685-698 ◽  
Author(s):  
Yaqi Chen ◽  
Joseph A. O'Sullivan ◽  
David G. Politte ◽  
Joshua D. Evans ◽  
Dong Han ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Dual Energy ◽  
Ct Image ◽  
Alternating Minimization ◽  
Minimization Algorithm ◽  
Line Integral ◽  
X Ray ◽  
Alternating Minimization Algorithm ◽  
Ct Image Reconstruction

scholarly journals Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction

2019 ◽  
Vol 1 (6) ◽  
pp. 269-276 ◽  
Author(s):  
Hongming Shan ◽  
Atul Padole ◽  
Fatemeh Homayounieh ◽  
Uwe Kruger ◽  
Ruhani Doda Khera ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Reconstruction ◽  
Deep Neural Network ◽  
Low Dose ◽  
Ct Image ◽  
Competitive Performance ◽  
Low Dose Ct ◽  
Ct Image Reconstruction

Correction to “Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction” [Mar 14 749-763]

2014 ◽  
Vol 33 (4) ◽  
pp. 1004-1004 ◽  
Author(s):  
Yan Liu ◽  
Zhengrong Liang ◽  
Jianhua Ma ◽  
Hongbing Lu ◽  
Ke Wang ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Total Variation ◽  
Ct Image ◽  
X Ray ◽  
Ct Image Reconstruction
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