Deep Learning-Based Scatter-Free Virtual Monochromatic CBCT Imaging for Metal Artifact Reduction: A Feasibility Study
Metal artifacts are one of the common imaging artifacts that degrade the image quality of cone-beam CT (CBCT). Thus, several studies have investigated metal artifact reduction (MAR) techniques to restore anatomical information around metallic implants, includ...
Hoyeon Lee, PhD
Diagnostic and Interventional Radiology Physics
Deep Learning-Based Sinogram Synthesis for High-Pitch Helical CT Reconstruction
High-pitch helical Computed Tomography (CT) reduces radiation exposure to patients and improves robustness against motion artifacts; however, the images suffer from artifacts due to limited data sampling. Recent studies proposed deep learning approaches to ad...
Hoyeon Lee, PhD
Diagnostic and Interventional Radiology Physics