Protocol-Aware Multi-Slice Deep Learning Framework for Resolution Enhancement In Conventional Coronary CT Angiography Using Photon-Counting Detector CT As Reference
To enhance spatial resolution in all three dimensions (x, y, z) of coronary CT angiography (cCTA) acquired with conventional energy-integrating detector (EID)-based CT systems, using a protocol-aware multi-slice deep learning model trained with resolution-mat...
Poster Program · Diagnostic and Interventional Radiology Physics