• GDCM (Please refer to GDCM v2 installation guide)
• CUDA
• The code has been tested with GDCM v2 and CUDA v10.2

$ git clone https://github.com/mghro/moquimc.git

$ cd moquimc/tests/mc/phantom
$ cmake .
$ make

• You may need to modify the CUDA configuration on the CMakeList.txt
• The default is to use CUDA compute capability 7.5

$ python create_phantom.py # create water 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 ./water_phantom.raw --output_prefix ./ --gpu_id 0 > ./log.out

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

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