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Comparison of Image Quality Reconstructed Using Iterative Reconstruction and Deep Learning Algorithms Under Varying Dose Reductions in Dual-Energy Carotid CT Angiography

Crossref DOI link: https://doi.org/10.1007/s10278-026-01848-9

Published Online: 2026-02-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Chenzi

Long, Juan

Zhang, Dapeng

Fan, Lulu

Wang, Zhen

Liu, Xiaohan

Zhang, He

Wang, Chong

Wu, Yang

Sun, Aiyun

Xu, Kai

Meng, Yankai
Funding

Funding for this research was provided by:

Jiangsu Commission of Health (LKM2022018)
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Text and Data Mining valid from 2026-02-04

Version of Record valid from 2026-02-04
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Article History

Received: 24 September 2025

Revised: 12 December 2025

Accepted: 5 January 2026

First Online: 4 February 2026

Declarations

:

: This study was performed in line with the principles of the Declaration of Helsinki.The study was approved by the hospital's Institutional Ethics Committee (approval number: XYFY2024-KL456), and all participants provided written informed consent.

: The authors affirm that human research participants provided informed consent for publication of the images in Fig. .

: All authors declare no conflicts of interest related to this work.

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