Proton therapy range uncertainty reduction using vendor‐agnostic tissue characterization on a virtual photon‐counting CT head scan

Virtual imaging offers an alternative approach to validation of the SPR prediction from CT imaging, as well as its effect on the dose distribution and thus downstream clinical outcomes. According to this simulation study, software solutions that utilize spectral information hold promise for more accurate prediction of the SPR than the conventional stoichiometric approach.