5 papers
Compact deep learning pipeline for particle track reconstruction in the pCT detector system
B. Dudás, G. Papp, G. G. Barnaföldi +1
Proton computed tomography (pCT) requires both fast and accurate reconstruction of particle trajectories and kinetic energies to achieve clinically viable image formation. Traditio…
CT Imaging with Helium and Carbon Ions for Hadron Therapy
Zsófia Jólesz, Gábor Bíró, Gábor Papp +1
Objective: To perform a comprehensive comparative analysis of proton, helium-ion, and carbon-ion computed tomography (CT) as direct imaging modalities for hadron therapy treatment…
Reconstruction of proton relative stopping power with a granular calorimeter detector model
M. Aehle, J. Alme, G. G. Barnaföldi +49
Proton computed tomography (pCT) aims to facilitate precise dose planning for hadron therapy, a promising and effective method for cancer treatment. Hadron therapy utilizes protons…
Estimating event-by-event multiplicity by a Machine Learning Method for Hadronization Studies
Gábor Bíró, Gábor Papp, Gergely Gábor Barnaföldi
Hadronization is a non-perturbative process, which theoretical description can not be deduced from first principles. Modeling hadron formation requires several assumptions and vari…
Proton Computed Tomography Image Reconstruction Based on the Richardson-Lucy Algorithm
Gábor Bíró, Ákos Sudár, Zsófia Jólesz +2
Proton therapy is an emerging method in cancer therapy. One of the main developments is to increase the accuracy of the Bragg-peak position calculation, which requires more precise…