DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction-Reference-Cited by-同舟云学术

DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction

Published:2022-07 Issue:7 Volume:41 Page:1778-1790
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Hu Dianlin¹^ORCID,Zhang Yikun¹^ORCID,Liu Jin²^ORCID,Luo Shouhua³,Chen Yang¹^ORCID

Affiliation:

1. Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration (Ministry of Education), Southeast University, Nanjing, China

2. College of Computer and Information, Anhui Polytechnic University, Wuhu, China

3. Department of Biomedical Engineering, Southeast University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic Research Project of Shenzhen Science and Technology Innovation Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9811094/09698177.pdf?arnumber=9698177

Reference59 articles.

1. Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium

2. DuDoNet: Dual Domain Network for CT Metal Artifact Reduction

3. ADMM-based deep reconstruction for limited-angle CT

4. Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer

5. CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction

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