Simulating metal ct artefacts for ground truth generation in deep learning.
CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. In this research project, we focused on developing a pipeline to create a rich ground truth dataset, formin