AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse‐data CT-Reference-Cited by-同舟云学术

AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse‐data CT

Author:

Chen Gaoyu¹²³,Hong Xiang¹²,Ding Qiaoqiao⁴,Zhang Yi⁵,Chen Hu⁵,Fu Shujun⁶,Zhao Yunsong³⁷,Zhang Xiaoqun²,Ji Hui⁴,Wang Ge⁸,Huang Qiu¹²,Gao Hao³

Affiliation:

1. Department of Nuclear Medicine Rui Jin Hospital School of Medcine Shanghai Jiao Tong University Shanghai 200240 China

2. School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200240 China

3. Department of Radiation Oncology Winship Cancer Institute of Emory University Atlanta GA 30322 USA

4. Department of Mathematics National University of Singapore 119077 Singapore

5. College of Computer Science Sichuan University Chengdu Sichuan 610065 China

6. School of Mathematics Shandong University Jinan Shandong 250100 China

7. School of Mathematical Sciences Capital Normal University Beijing 100048 China

8. Department of Biomedical Engineering Rensselaer Polytechnic Institute Troy NY 12180 USA

Publisher

Wiley

Subject

General Medicine

Link

Reference48 articles.

3. Accurate image reconstruction from few‐views and limited‐angle data in divergent‐beam CT;Sidky EY;J Xray Sci Technol,2006

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