5 papers
Percentile-based probabilistic optimization for systematic and random uncertainties in radiation therapy
Albin Fredriksson, Erik Engwall, Jenneke de Jong +1
Geometric uncertainty can degrade treatment quality in radiation therapy. While margins and robust optimization mitigate these effects, they provide only implicit control over clin…
Shoot-through layers in upright proton arcs unlock advantages in plan quality and range verification
Erik Engwall, Victor Mikhalev, Johan Sundström +2
Background: Upright proton therapy with compact delivery systems has the potential to reduce costs for treatments but could also lead to broadening of the beam penumbra due to ener…
Partitioning of multiple brain metastases improves dose gradients in single-isocenter radiosurgery
Johan Sundström, Anton Finnson, Elin Hynning +2
Background: A growing number of cancer patients with brain metastases can benefit from stereotactic radiosurgery (SRS) thanks to recent advances in systemic therapies. With an incr…
Proton arc therapy plan optimization with energy layer pre-selection driven by organ at risk sparing and delivery time
S. Wuyckens, G. Janssens, M. Chocan Vera +5
Objective. As proton arc therapy (PAT) approaches clinical implementation, optimizing treatment plans for this innovative delivery modality remains challenging, especially in addre…
Efficient proton arc optimization and delivery through energy layer pre-selection and post-filtering
S. Wuyckens, V. Wase, O. Marthin +7
Proton arc therapy (PAT) has emerged as a promising approach for improving dose distribution, but also enabling simpler and faster treatment delivery in comparison to conventional…