Cone‐beam CT‐derived relative stopping power map generation via deep learning for proton radiotherapy

Purpose In intensity‐modulated proton therapy (IMPT), protons are used to deliver highly conformal dose distributions, targeting tumors, and sparing organs‐at‐risk. However, due to uncertainties in both patient setup and relative stopping power (RSP) calculation, margins are added to the treatment volume during treatment planning, leading to higher doses to normal tissues. Cone‐beam computed tomography (CBCT) images are taken daily before...