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Updated: Dec 30, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
Published on: September 4, 2017
A new open-source GPU-based microscopic Monte Carlo simulation tool for the calculations of DNA damages caused by
Min-Yu Tsai1,2, Zhen Tian1, Nan Qin1
1Innovative Technology Of Radiotherapy Computation and Hardware (iTORCH) laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75287, USA.
This study introduces gMicroMC, a GPU-accelerated Monte Carlo simulation tool that significantly enhances the efficiency of simulating radiation interactions and calculating DNA damage. The new tool achieves high accuracy and a ~540x speedup compared to CPU-based methods.
Area of Science:
- Computational physics and biophysics
- Radiation science and radiobiology
- High-performance computing
Background:
- Understanding radiation effects at the microscopic level is crucial for radiobiology.
- Accurate simulation of radiation transport and subsequent biological damage is computationally intensive.
- Existing CPU-based Monte Carlo (MC) methods face efficiency limitations due to large problem sizes and complex many-body interactions, particularly in the chemical stage of radiation effects.
Purpose of the Study:
- To develop a GPU-accelerated microscopic Monte Carlo (MC) simulation tool, named gMicroMC.
- To improve the computational efficiency of simulating radiation interactions in water and calculating biologically relevant quantities like DNA damage.
- To leverage advanced GPU-acceleration techniques for MC simulations.
Main Methods:
- gMicroMC simulates electron transport in the physical stage using an interaction-by-interaction scheme.
- The physicochemical stage determines the initial positions of radicals generated in water.
- The chemical stage employs a step-by-step model with GPU-accelerated parallelization and a GPU-enabled box-sorting algorithm for efficient simulation of radical diffusion and reactions.
- A multi-scale DNA model representing a lymphocyte cell nucleus (~6.2 Gbp) was integrated.
Main Results:
- Physical stage simulation accuracy was validated by computing stopping power and track length, showing 10-20% agreement with published data and GEANT4-DNA.
- Yields of major radiolytic species showed within 10% difference compared to GEANT4-DNA.
- Calculated DNA damage yields for 662 keV photons (137Cs source) were 196 ± 8 SSB/Gy/Gbp and 7.3 ± 0.7 DSB/Gy/Gbp, consistent with prior studies.
- gMicroMC achieved a significant speedup factor of approximately 540x compared to single-CPU computations using an NVidia TITAN Xp GPU.
Conclusions:
- gMicroMC demonstrates high accuracy and efficiency in simulating microscopic radiation transport and DNA damage.
- The tool is capable of facilitating advanced research in radiobiology and radiation effects.
- gMicroMC is an open-source package, readily available for the scientific community.
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