Cone-beam CT (CBCT) imaging is used for adaptive radiation therapy (ART) in head and neck cancer (HNC) due to its more convenient image acquisition and no additional dose. However, CBCT limitations in Hounsfield (HU) accuracy and image quality have emerged for treatment planning and dose calculation. To overcome the limitation of using CBCT images in ART, the sCT-based method will be applied in this study. Therefore, this study aims to generate sCT from CBCT images using U-net DL for ART treatment planning in HNC. All sCT images will be evaluated regarding HU accuracy, image quality, and dosimetric accuracy.
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