47 Comparison of a deep learning method with three other methods to perform dose calculation from CBCT images in head-and-neck radiotherapy

Introduction. Anatomical variations occur during head and neck (H&N) radiotherapy. kV cone beam computed tomography (CBCT) images could be used to calculate the dosimetric impact of these anatomical variations and monitor the dose. This study aims to evaluate a deep learning method (DLM) to generate pseudo-CT (pCT) from CBCT and to compare this method with three existing methods in H&N cancer...