Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery.
Journal:
Medical physics
Published Date:
Jul 8, 2020
Abstract
PURPOSE: Robotic radiosurgery offers the flexibility of a robotic arm to enable high conformity to the target and a steep dose gradient. However, treatment planning becomes a computationally challenging task as the search space for potential beam directions for dose delivery is arbitrarily large. We propose an approach based on deep learning to improve the search for treatment beams.