Author profile
Mayo Clinic
To develop a super-resolution convolutional neural network to generate high-resolution temporal bone images beyond the resolution limitation of a commercial photon-counting-detector (PCD) CT.
Photon-counting-detector (PCD) CT acquires multi-energy data in a single scan, enabling quantitation of electron density (ρe) and effective atomic number (Zeff). This study assessed the performance of PCD-CT for ρe and Zeff mapping across different phantom si...
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...
Stopping-power ratio (SPR) is used in proton therapy to calculate the radiation dose distributions. SPR depends on tissue composition and can be calculated using multi-energy CT. This study compares the accuracy of SPR calculated using energy-integrating dete...
Lung tumors are poorly visible on conventional on-board 2D X-ray imaging due to limited soft-tissue contrast and overlapping anatomy, posing a challenge for patient setup on proton therapy systems equipped with 2D X-ray imaging. Our goal is to develop a novel...