Comparison of image quality of 40 keV virtual monoenergetic images of vertebral arteries using DLIR and ASIR-V algorithms under a dual-low scanning protocol

This study aims to compare the image quality of 40 keV Virtual Monoenergetic Images (VMI) of the vertebral artery (VA) reconstructed using two algorithms, Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction (ASIR-V), under a dual-low scanning protocol, which simultaneously reduces both the radiation dose and the contrast agent dose during the CT scanning process.

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