Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning

• DOI: 10.1002/mp.17100
• Publication Date: 2024-04-26T18:24:07Z
• Authors: William T. Hrinivich; Mahasweta Bhattac...; Lina Mekki; Todd McNutt; Xun Jia; Heng Li; Daniel Y. Song; Junghoon Lee
• Keywords: 03 medical and health sciences; 0302 clinical medicine

Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) remains computationally expensive and sensitive to input dose objectives creating challenges for manual automatic planning. Reinforcement learning (RL) involves through extensive trial-and-error, demonstrating performance exceeding humans, existing algorithms in several domains.