Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT-Reference-Cited by-同舟云学术

Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT

Published:2023-04-18 Issue:4 Volume:36 Page:1390-1407
ISSN:1618-727X
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Zhong Jingyu^ORCID,Shen Hailin,Chen Yong,Xia Yihan,Shi Xiaomeng,Lu Wei,Li Jianying,Xing Yue,Hu Yangfan,Ge Xiang,Ding Defang,Jiang Zhenming,Yao Weiwu^ORCID

Funder

National Natural Science Foundation of China

Yangfan Project of Science and Technology Commission of Shanghai Municipality

Shanghai Science and Technology Commission Science and Technology Innovation Action Clinical Innovation Field

Medicine and Engineering Combination Project of Shanghai Jiao Tong University

Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine

Guangci Innovative Technology Launch Plan of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-023-00806-z.pdf

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