Abstract
Computed tomography (CT) is a widely used method in today’s medical imaging but is associated with high radiation doses. This study examines current techniques for optimizing radiation dose in CT and addresses strategies to protect both patients and staff from radiation.
Keywords: Radiation dose, CT optimization, ALARA principle, iterative reconstruction, deep learning algorithms
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