Zi-Qiao Lei

Feasibility of deep learning reconstruction algorithm combined with the "ultra triple-low" protocol at 60 kVp in CTPA: An image quality and radiation dose assessment.

PURPOSE To evaluate the feasibility of a deep learning-based reconstruction algorithm (Clear Infinity, CI) combined with an "ultra triple-low" protocol (60 kVp, 10 ml iodine contrast, 2.5 ml/s) for pulmonary CT angiography (CTPA). METHOD Seventy patients (body mass index (BMI) < 28 kg/m2) were randomised to Group A (...