Proton Beam Treatment Planning in RayStation

This article presents a technical report on the treatment planning of scanned proton beams in RayStation, a treatment planning system developed by RaySearch Laboratories AB. It details various proton-specific functions implemented in RayStation, addressing the unique demands of proton therapy compared to traditional photon-based radiation therapy. The paper outlines algorithms for energy layer and spot selection, optimization processes including robust and 4D optimization, and the integration of a Monte Carlo dose calculation engine. It also describes tools for plan evaluation and a scripting interface. The objective is to provide a thorough explanation of the planning process and the underlying algorithms involved, including features such as robust optimization and automatic planning with deep learning, which have not been fully documented in prior publications. The focus is on the functionalities specific to proton treatment planning, as well as their applications in clinical settings, ensuring that the information is relevant for practitioners in the field.