My research involves a range of proton and traditional radiation therapy topics, mostly focusing on novel treatment planning approaches. These include handling uncertainties (arising from e.g. patient positioning and proton range errors, breathing and organ motion), quantifying treatment robustness, developing robust optimization methods, optimizing radiotherapy fractionation and combined modality treatments, building decision support tools and exploring biology based treatment planning. Most projects are carried out in close collaboration with clinical partners, such as Erasmus Medical Center in Rotterdam of the Holland Proton Therapy Center right next door.
- Feb 2015 -Feb 2017, Post-doctoral researcher at Massachusetts General Hospital/Harvard Medical School, Department of Radiation Oncology, Physics Research Group, Boston, Massachusetts, USA
- Jan 2015 PhD in Reactor Physics (with Cum Laude distinction),Delft University of Technology, Delft, The Netherlands.
Thesis: “Sensitivity and Uncertainty Analysis of Coupled Reactor PhysicsProblems - Method Development for Multi-Physics in Reactors”
- Jun 2010 MSc in Engineering Physics, Specialization in Nuclear Techniques, Budapest University of Technology and Economics (BME), Budapest,HungaryThesis: “Investigating the Fuel Cycle and Transmutational Capabilities of Gas Cooled Fast Reactors”
- Z Perkó, T Bortfeld, T Hong, J Wolfgang, J Unkelbach, “Derivation of mean dose tolerances for new fractionation schemes and treatment modalities”, Physics in Medicine & Biology 63 (3), 035038
Z. Perkó, S. R. van der Voort, S. van de Water, et al., “Fast and Accurate Sensitivity Analysis of IMPT Treatment Plans Using Polynomial Chaos Expansion“, Physics in Medicine and Biology, 61 (12), pp. 4646-4664, (2016)
S. R. van der Voort, S. van de Water, Z Perkó, et al., "Robustness Recipes for Minimax Robust Optimization in Intensity Modulated Proton Therapy for Oropharyngeal Cancer Patients", International Journal of Radiation Oncology* Biology* Physics, 95 (1), pp. 163-170, (2016)
Z. Perkó, T. Bortfeld, T. Hong, et al., "Optimal Fractionation Schemes for Liver SBRT Based on BED", 18th International Conference on the use of Computers in Radiation Therapy, ICCR 2016, London, UK, (2016)
Z. Perkó, L. Gilli, D. Lathouwers, J. L. Kloosterman, “Grid and basis adaptive polynomial chaos techniques for sensitivity and uncertainty analysis”, Journal of Computational Physics, 260, pp. 54-84, (2014)