Published October 1, 2017 | Version v1
Journal article

A fast - Monte Carlo toolkit on GPU for treatment plan dose recalculation in proton therapy

  • 1. Sapienza - Università di Roma, Department of Basic and Applied Sciences for Engineering (SBAI), Via A. Scarpa 14, 00161 Roma (Italy)
  • 2. INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 40, 00044 Frascati (Roma) (Italy)
  • 3. INFN - Sezione di Milano, Via Celoria, 16, 20133 Milano (Italy)
  • 4. Fondazione CNAO, Strada Campeggi, 53 - 27100 Pavia (Italy)

Description

In the context of the particle therapy a crucial role is played by Treatment Planning Systems (TPSs), tools aimed to compute and optimize the treatment plan. Nowadays one of the major issues related to the TPS in particle therapy is the large CPU time needed. We developed a software tool kit (FRED) for reducing dose recalculation time by exploiting Graphics Processing Units (GPU) hardware. Thanks to their high parallelization capability, GPUs significantly reduce the computation time, up to factor 100 respect to a standard CPU running software. The transport of proton beams in the patient is accurately described through Monte Carlo methods. Physical processes reproduced are: Multiple Coulomb Scattering, energy straggling and nuclear interactions of protons with the main nuclei composing the biological tissues. FRED tool kit does not rely on the water equivalent translation of tissues, but exploits the Computed Tomography anatomical information by reconstructing and simulating the atomic composition of each crossed tissue. FRED can be used as an efficient tool for dose recalculation, on the day of the treatment. In fact it can provide in about one minute on standard hardware the dose map obtained combining the treatment plan, earlier computed by the TPS, and the current patient anatomic arrangement. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/905/1/012027

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
905
Journal Issue
1
Journal Page Range
[5 p.]
ISSN
1742-6596