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

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.