Cone Beam Computed Tomography
Cone beam computed tomography (CBCT) is a medical imaging technique providing detailed 3D images, primarily used in dentistry and radiation therapy, with applications expanding to other fields. Current research heavily focuses on improving CBCT image quality through artifact reduction (e.g., motion artifacts, metal artifacts) and enhancing reconstruction accuracy using deep learning methods, including diffusion models, generative adversarial networks (GANs), and transformers. These advancements aim to improve diagnostic accuracy, treatment planning, and reduce radiation exposure, ultimately impacting clinical workflows and patient care.
Papers
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