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

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

Abstract Background To assess the effect of the combination of deep learning reconstruction (DLR) and time-resolved maximum intensity projection (tMIP) or time-resolved average (tAve) post-processing method on image quality of CTA derived from low-dose cerebral CTP. Methods Thirty patients underwent...

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Bibliographic Details
Main Authors: Jiajing Tong, Tong Su, Yu Chen, Xiaobo Zhang, Ming Yao, Yanling Wang, Haozhe Liu, Min Xu, Jian Wang, Zhengyu Jin
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Medical Imaging
Subjects:
Computed tomography angiography
Deep learning
Cerebral arteries
Radiation dose reduction
Online Access:https://doi.org/10.1186/s12880-025-01623-2
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https://doi.org/10.1186/s12880-025-01623-2

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