SimPET

The SIMPET project is intended to provide a framework to set up and launch MC simulations in a simple way. It provides functionalities to:

• Launch a simulation based on your activity and attenuation maps.
• Extract realistic activity and attenuation maps from real-subject PET/MR/CT images using the BrainViset methodology.
• Quickly define new scanners for simulations using YAML files (see scanners dir inside the repository.

SETUP:

• Clone the repository
• Run "setup.sh" (It will ask for your sudo password. Sorry for this. Will be improved soon.)
• After setup, a file named simpet_paths.sh should have been created. Consider adding the content of this file to your .bashrc. Alternatively, you can source this file each time you want to use SimPET.

CONSIDERATIONS:

• Monte Carlo simulations usually take a lot of space. If you want to change the default Data and Results directories you can do so in config.yml

LAUNCH A SIMULATION

• Open Python and import the simpet class.
• Tune the parameters of the simulation to your needs (edit "Params_template.yml" or derive your own using it as an example.)
• Create a simulation object. EXAMPLE Data is provided in Data/test: test_simu = simpet.SimPET('Params_test.yml')
• Run the simulation: test_simu.run()

CONTRIBUTORS

• Jesús Silva-Rodríguez
• Pablo Aguiar
• Aida Ninyerola-Baizan
• Yeremaya Póveda
• Francisco Javier López-González
• Nikos Efthimiou‬
• Arnau Farre