Presenting AuthorPosterGPD-D-34
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...
Poster Program · Diagnostic and Interventional Radiology Physics
CorrespondingPosterGPD-D-24
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...
Poster Program · Diagnostic and Interventional Radiology Physics