%0 Thesis
%A Ochoa Parra, Luz Anny Pamela
%T End-to-end range prediction for heavier ion radiation therapy based on Monte Carlo simulations
%I Universidad Nacional de Colombia
%V Masterarbeit
%M DKFZ-2020-02660
%D 2020
%Z Masterarbeit, Universidad Nacional de Colombia, 2020
%X :  The presence of range uncertainties in charged particle therapy with light ions (CPT)requires the employment of safety margins during treatment planning. These affecttreatment quality, not allowing to fully exploit the dosimetric potential of CPT. CPT ischaracterized by an escalation of the dose deposition towards the end of the range of theprimary particles followed by a steep decrease to a low-dose tail (Bragg Peak). Thedimension of the safety margins can be reduced by adopting novel methods to verify theprimary particle ranges in patients. Non-invasive in vivo monitoring can be performed bydetecting secondary radiation emitted from the patient after nuclear interactions of thebeam with tissue. Among secondary radiation, the gamma de-excitation of nuclei has thefavorable properties of an instantaneous emission and a discrete energy spectrum, whichallows performing range control through prompt gamma spectroscopy (PGS). Recentstudies demonstrated the capabilities of PGS for online range verification for protonbeams. Along with the experimental developments, a critical step towards the applicationof PGS for range control during patient treatments is the implementation of the promptgamma generation in a treatment planning system. The comparison of the experimentaldata acquired during the treatment to the predicted spectral features is the fundamentalstep to achieve absolute range measurements in vivo. The project aimed to obtain a fullyintegrated method to perform end-to-end range predictions in anthropomorphic phantoms.In the first stage, a Monte Carlo simulation was conducted to obtain the values of thecross-section for 19 prompt gamma-ray lines from proton-nuclear interactions with 16 O and12-C. The central part of the project included the implementation of the cross-sections inthe research treatment planning system matRad.
%F PUB:(DE-HGF)19
%9 Master Thesis
%U https://inrepo02.dkfz.de/record/166155