Application of Multimodal Reconstruction Scheme on Periprosthetic Vasculature Visualization and Metal Artifact Reduction in Total Hip Arthroplasty

Objective

To explore the combination of spectral computed tomography (CT) monochromatic imaging with a metal artifact reduction (MAR) algorithm and deep learning reconstruction (DLR). We also aimed to evaluate the image quality improvements in computed tomography angiography (CTA) of the lower extremity arteries after total hip arthroplasty (THA) using the DLR algorithm.