PIE-ARNet: Prior Image Enhanced Artifact Removal Network for Limited-Angle DECT-Reference-Cited by-同舟云学术

PIE-ARNet: Prior Image Enhanced Artifact Removal Network for Limited-Angle DECT

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Yikun¹^ORCID,Hu Dianlin¹^ORCID,Lyu Tianling²^ORCID,Zhu Jian³^ORCID,Quan Guotao⁴^ORCID,Xiang Jun⁵^ORCID,Coatrieux Gouenou⁶^ORCID,Luo Shouhua⁷^ORCID,Chen Yang¹^ORCID

Affiliation:

1. Laboratory of Image Science and Technology, and the School of Computer Science and Engineering, Southeast University, Nanjing, China

2. Zhejiang Laboratory, Hangzhou, China

3. Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China

4. CT RPA Department, United Imaging Healthcare Company Ltd., Shanghai, China

5. X-Ray Department, United Imaging Healthcare Company Ltd., Shanghai, China

6. IMT Atlantique, Inserm, LaTIM (UMR1101), Brest, France

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

Funder

State Key Project of Research and Development Plan

National Natural Science Foundation of China

Key Research and Development Programs in Jiangsu Province of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09947019.pdf?arnumber=9947019

Reference86 articles.

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4. CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging

5. Algorithm-enabled partial-angular-scan configurations for dual-energy CT

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