Speaker
Dudás Bence
(Eötvös Loránd University)
Description
Proton therapy is a promising method for cancer treatment, where the energy deposit may be focused on the cacerous cells, hence providing a much faster method with less side effects as a traditional radiation therapy. However, a good diagnostic tool, a "CT" with ptotons is missing to reach the desired accuracy. Here, we model a new tool chain, where we generate events, detected by the planned detector for various phantoms, identifying trajectories and the energies and direction of the charged particles behind the phatom. The information extracted is the input for image reconstruction algorithms. Due to the complexness of the identification we designed neural network based models to speed up the process.
Primary author
Dudás Bence
(Eötvös Loránd University)
