Comparison of Super-Resolution Deep-Learning Reconstruction and Hybrid Iterative Reconstruction for Coronary Stent Assessment on CTA: A Prospective Multicenter Study

American Journal of Roentgenology 2026

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Authors: Cheng Xu, Limiao Zou, Shaofei He, Tengyue Zhang, Tengyue Zhang, Linghao Wang, Xiaohuan Liu, Haipeng Liu, Ying Li, Ying Li, Tao Zhou, Ling Yang
+19 more Chunli Zhao, Na Li, Dan Yu, Yanyu Zhang, Lijun Chen, Min Xu, Ming Wang, Man Wang, Zhiping Zhong, Zhihua Wu, Hongzhong Mo, Tong Zhang, Tong Zhang, Xiaohui Guan, Yaliang Liu, Shouqiang Jia, Changhua Liang, Wei Wu, Yining Wang
DOI: 10.2214/ajr.26.34957
Cited by: 1
References: 32

Abstract

The novel SR-DLR algorithm improves the performance of coronary CTA obtained on conventional 320-row MDCT scanners and could support expanded use of CTA for stent evaluation.

Fields of Study & Subjects

Coronary Interventions and Diagnostics Cardiac Imaging and Diagnostics Advanced MRI Techniques and Applications

Publication details

Journal / source
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Publication date
15 July 2026
Language
EN