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A simple method to import CAD mesh format models in FLUKA.

Sixue Dong1,2,3,4, Yinxiangzi Sheng4,5,6, Jiazhou Wang1,2,3,4

  • 1Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.

Journal of Applied Clinical Medical Physics
|August 11, 2023
PubMed
Summary
This summary is machine-generated.

A new Python script simplifies converting CAD mesh models into voxelized geometry models for FLUKA simulations, ensuring accuracy in particle radiotherapy. This method enhances efficiency and precision in treatment planning.

Keywords:
CAD mesh modelMonte Carlo simulationgeometry conversionvoxel model

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Area of Science:

  • Medical Physics
  • Computational Physics
  • Radiotherapy Simulation

Background:

  • Monte Carlo (MC) code FLUKA is widely used for accurate particle beam radiotherapy simulations.
  • Direct conversion of Computer-Aided Design (CAD) mesh models to FLUKA-readable geometries is challenging.
  • A simplified method for this conversion is needed.

Purpose of the Study:

  • To develop and validate a Python-based script for voxelizing CAD mesh files.
  • To establish these voxelized geometry models (VGMs) within FLUKA.
  • To simplify and improve the accuracy of geometric model creation in FLUKA.

Main Methods:

  • Five geometric models (cube, sphere, cone, RGF, 1D-RiFi) were exported as .stl files.
  • An open-source Python script converted .stl files into 3D voxel grids.
  • FLUKA and Flair were used to build VGMs and direct geometry models (DGMs) for comparison.
  • Carbon ion beams were simulated to compare dose distributions and integral depth dose (IDD).

Main Results:

  • Volume differences between VGMs and CAD models were less than 0.6%.
  • Maximum mean point-to-point deviation in IDD was 0.7% ± 0.51%.
  • 3D dose Gamma-index passing rates exceeded 97% (1%-1 mm criteria).
  • Average CPU time difference between VGMs and DGMs was 2.89% ± 0.22%.

Conclusions:

  • A Python-based method effectively converts CAD mesh files to VGMs for FLUKA.
  • The method is simple, accurate, and suitable for radiotherapy simulations.
  • This approach enhances the usability of FLUKA for complex geometries.