MOnte carlo code for QUIck proton dose calculation (moqui)

Installation

Requirements

• GDCM (Please refer to GDCM v2 installation guide) (libgdcm-dev in Ubuntu 22)
  • If you get spurious warnings in CMake, and they annoy you, consider installing (Ubuntu 22): libgdcm-tools libvtkgdcm-cil libvtkgdcm-dev libvtkgdcm-java python3-vtkgdcm
• CUDA
• ZLIB
• The code has been tested with GDCM v2 and CUDA v10.2, as well as GDCM v3 and CUDA v8.0
• Python3 (for phantom example)

Obtaining the code

$ git clone https:/ferdymercury/moquimc.git

Compile the phantom case

$ cd moquimc
$ mkdir build
$ cd build
$ cmake ..
$ make

• You can specify a custom CUDA path in the cmake command, for example: -DCUDAToolkit_ROOT=/opt/cuda-8.0 -DCMAKE_CUDA_COMPILER=/opt/cuda-8.0/bin/nvcc. The default is the nvcc found within thhe PATH environment variable.
• You can specify a custom CUDA compute capability via -DCMAKE_CUDA_ARCHITECTURES=20. The default is to use CUDA compute capability 7.5

Running the phantom example

$ python create_phantom.py # create water phantom in /tmp/, find script inside tests/mc/phantom folder
$ ./tests/mc/phantom/phantom_env --lxyz 100 100 350 --pxyz 0.0 0.0 -175 --nxyz 200 200 350 --spot_energy 200.0 0.0 --spot_position 0 0 0.5 --spot_size 30.0 30.0 --histories 100000 --phantom_path /tmp/water_phantom.raw --output_prefix ./ --gpu_id 0 > ./log.out

Or simply:

$ ctest -V -R phantom_env

Authors

Hoyeon Lee
Jungwook Shin
Joost M. Verburg
Mislav Bobić
Brian Winey
Jan Schuemann
Harald Paganetti

Acknowledgements

This work is supported by NIH/NCI R01 234210 "Fast Individualized Delivery Adaptation in Proton Therapy"