Projection domain denoising method based on dictionary learning for low-dose CT image reconstruction

2015 ◽  
Vol 23 (5) ◽  
pp. 567-578 ◽  
Author(s):  
Haiyan Zhang ◽  
Liyi Zhang ◽  
Yunshan Sun ◽  
Jingyu Zhang
Keyword(s):  
Image Reconstruction ◽  
Dictionary Learning ◽  
Low Dose ◽  
Ct Image ◽  
Denoising Method ◽  
Low Dose Ct ◽  
Ct Image Reconstruction ◽  
Projection Domain

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

scholarly journals Low-Dose CT Image Reconstruction With a Deep Learning Prior

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 158647-158655
Author(s):  
Hyoung Suk Park ◽  
Kyungsang Kim ◽  
Kiwan Jeon
Keyword(s):  
Deep Learning ◽  
Image Reconstruction ◽  
Low Dose ◽  
Ct Image ◽  
Low Dose Ct ◽  
Ct Image Reconstruction

scholarly journals SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models

2020 ◽  
Vol 39 (3) ◽  
pp. 729-741 ◽  
Author(s):  
Siqi Ye ◽  
Saiprasad Ravishankar ◽  
Yong Long ◽  
Jeffrey A. Fessler
Keyword(s):  
Image Reconstruction ◽  
Low Dose ◽  
Ct Image ◽  
Low Dose Ct ◽  
Ct Image Reconstruction ◽  
Image Models
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