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Applying graphics processor units to Monte Carlo dose calculation in radiation therapy.

M Bakhtiari¹, H Malhotra, M D Jones

¹Department of Radiation Medicine, Roswell Park Cancer Institute, Buffalo, NY 14263, USA.

Journal of Medical Physics

|July 1, 2010

Summary

Graphics Processing Units (GPUs) significantly accelerate Monte Carlo (MC) radiation dose calculations. This GPU acceleration can aid in the clinical adoption of MC for radiation therapy planning.

Keywords:

Graphics processor unit Monte Carlo

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Area of Science:

Medical Physics
Computational Science
Radiotherapy

Background:

Monte Carlo (MC) simulations are crucial for accurate radiation dose calculations.
Traditional MC methods using Central Processing Units (CPUs) can be computationally intensive and time-consuming.
Accelerating these calculations is vital for clinical implementation.

Purpose of the Study:

To investigate the use of Graphics Processing Units (GPUs) for accelerating MC-based radiation dose calculations.
To compare the computational performance of MC simulations on CPUs versus GPUs.
To assess the feasibility of GPU-enhanced MC for clinical radiotherapy planning.

Main Methods:

Percent depth dose (PDD) calculations for photons in a medium were performed using MC simulations.
Simulations were executed on both a standard CPU and a GPU.
Absorption and scattering coefficients of the medium were known.

Main Results:

GPU-based MC simulations demonstrated significant acceleration compared to CPU-based simulations.
Massive parallel processing capabilities of GPUs were leveraged for computational speed-up.
The study confirmed the advantage of GPUs for distributed stochastic simulations on a single computer.

Conclusions:

GPUs offer a substantial performance improvement for MC radiation dose calculations.
Harnessing GPU potential can facilitate the early adoption of MC methods in clinical settings.
This acceleration is key for routine use of MC in radiation therapy planning.