Automating Trial-and-Error In Prostate VMAT Planning with DreamerV3
Radiotherapy treatment plan optimization depends on planner experience and a trial-and-error process. Supervised deep learning can improve efficiency, but when trained on historical clinical plans, its performance is limited by their quality. Deep reinforceme...
Poster Program · Therapy Physics
Phits Simulation of a Stacked Silicon–Scintillator Detector for Next-Generation Spectral Ct
CT X-ray spectra were generated in PHITS by simulating bremsstrahlung at the tube anode. Using the resulting continuous CT spectrum as the incident beam, silicon response was evaluated for silicon thicknesses of 1, 5, and 10 mm to characterize energy depositi...
Poster Program · Diagnostic and Interventional Radiology Physics