A Monte-Carlo-based and GPU-accelerated 4D-dose calculator for a pencil-beam scanning proton therapy system
Mark D. Pepin, Erik Tryggestad, H. Wan Chan Tseung, Jedediah E., Johnson, Michael G. Herman, Chris Beltran

TL;DR
This paper introduces a GPU-accelerated Monte Carlo 4D-dose calculator for pencil-beam scanning proton therapy, enabling rapid and realistic dose estimation accounting for respiratory motion effects.
Contribution
The study presents a novel GPU-based Monte Carlo dose calculator with subvoxel dose accumulation for efficient 4D dose estimation in proton therapy.
Findings
Successfully computed 4D doses in 4-6 minutes using GPU clusters.
Subvoxel dose accumulation yields stable dose distributions at 0.5-1.0 mm resolution.
Monte Carlo simulation uncertainties are within acceptable ranges.
Abstract
Purpose: The presence of respiratory motion during radiation treatment leads to degradation of the expected dose distribution, both for target coverage and healthy-tissue sparing, particularly for techniques like pencil-beam scanning proton therapy which have dynamic delivery systems. While tools exist to estimate this degraded four-dimensional (4D) dose, they typically have one or more deficiencies such as ... Methods: To quickly compute the 4D-dose, the three main tasks of the calculator were run on graphics processing units (GPUs). These tasks were: simulating the delivery of the plan using measured delivery parameters to distribute the plan amongst 4DCT phases characterizing the patient breathing, using an in-house Monte Carlo simulation (MC) dose calculator to determine the dose delivered to each breathing phase, and accumulating the doses from the various breathing phases onto a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
