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Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data

Crossref DOI link: https://doi.org/10.1186/s12880-025-01623-2

Published Online: 2025-04-29

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

Authors

Tong, Jiajing

Su, Tong

Chen, Yu

Zhang, Xiaobo

Yao, Ming

Wang, Yanling

Liu, Haozhe

Xu, Min

Wang, Jian

Jin, Zhengyu
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Text and Data Mining valid from 2025-04-29

Version of Record valid from 2025-04-29
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Article History

Received: 11 August 2024

Accepted: 3 March 2025

First Online: 29 April 2025

Declarations

:

: Approval was granted by the ethics committee of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (Ethics approval number: I-24PJ0479), which agreed to waive informed consent due to the retrospective nature of this study. All methods were carried out in accordance with the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

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