Impact of CT reconstruction algorithms on pericoronary and epicardial adipose tissue attenuation

To investigate the impact of adaptive statistical iterative reconstruction-Veo (ASIR-V) and deep learning image reconstruction (DLIR) algorithms on the quantification of pericoronary adipose tissue (PCAT) and epicardial adipose tissue (EAT), and to explore the feasibility of correcting the effects through fat threshold adjustment.

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