Speaker
Description
Proton therapy is, due to its higher precision of energy deposition, an effective
alternative to conventional x-ray therapy. Occurring uncertainties due to the use
of x-ray computed tomography in treatment planning can be reduced through
the use of proton computed tomography. To accurately predict the range of the
protons in tissue, it is necessary to reconstruct the tracks of the protons through
the body with the help of detectors.
A new track reconstruction software, Corryvreckan, was published in 2017 with
the intention of equally good track reconstruction capability with respect to
EUTelescope while reducing external dependencies. It bears great similarity
in its modular structure with the simulation software Allpix$^2$, creating good
compatibility between the two frameworks. The different implemented modules
in Corryvreckan ensure its usability for track reconstruction and analysis in
complex environments.
Applications of track reconstruction with pixel sensors are investigated at TU
Dortmund with regard to proton computed tomography.
The use of Allpix$^2$ in the context of proton computed tomography is presented
in this talk, for its utility of creating valid simulations, which can be further
processed with Corryvreckan.