Speaker
Ms
Anastasiia Quarz
(GSI Helmholtzzentrum für Schwerionenforschung GmbH(GSI); TU Darmstadt)
Description
Ion beam therapy is the most advanced form of radiotherapy, requiring fast, precise, and accurate treatment planning. Speed is a critical factor for cancer patients, as timely interventions can significantly impact outcomes. While Monte Carlo simulations offer high-quality dose calculations, they are too slow for routine clinical workflows. In contrast, analytical pencil beam algorithms deliver faster results, but at the cost of some accuracy. We leverage the Dose Transformer Algorithm (DoTA) [DOI:10.1088/1361-6560/ac692e] to predict input data for the biological effects of carbon ion beams, aiming to achieve Monte Carlo-level quality with a speed comparable to the analytical approach.
Primary author
Ms
Anastasiia Quarz
(GSI Helmholtzzentrum für Schwerionenforschung GmbH(GSI); TU Darmstadt)
Co-authors
Ms
Angelica De Grigorio
(Dipartimento di Fisica, Sapienza Università di Roma, Italy)
Dr
Gaia Franciosini
(Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Universita` di Roma, Roma, Italy)
Dr
Angelo Schiavi
(Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Universita` di Roma, Roma, Italy)
Dr
Zoltan Perkó
(5Delft University of Technology, Department of Radiation Science and Technology, Delft, The Netherlands)
Dr
Lennart Volz
(GSI Helmholtzzentrum für Schwerionenforschung GmbH(GSI))
Prof.
Vincenzo Patera
(Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Universita` di Roma, Roma, Italy; INFN (Istituto Nazionale di Fisica Nucleare) section of Roma 1, Rome, Italy )
Prof.
Marco Durante
(GSI Helmholtzzentrum für Schwerionenforschung GmbH(GSI))
Prof.
Christian Graeff
(GSI Helmholtzzentrum für Schwerionenforschung GmbH(GSI))
