Deep learning-based metal artifact reduction in CT for head and neck radiotherapy
Background and purpose Metal artifacts from dental fillings and implants compromise CT image quality, target delineation, and dose calculation accuracy in head and neck (H&N) radiotherapy. Previous reviews have largely focused on traditional metal artifact reduction methods and image quality metrics rather than radioth...