Super-Resolution Deep Learning Reconstruction for Improved Image Quality of Coronary CT Angiography.

Purpose: To investigate image noise and edge sharpness of coronary CT angiography (CCTA) with super-resolution deep learning reconstruction (SR-DLR) compared with conventional DLR (C-DLR) and to evaluate agreement in stenosis grading using CCTA with that from invasive coronary angiography (ICA) as the reference standard.

Materials And Methods: This retrospective study included 58 patients (mean age, 69.0 years ± 12.