Primena Monte Carlo programa FOTELP i MCNP za simulacije transporta jonizujućih čestica u radioekologiji i medicini
Đurić, Milena, 1995-
Krstić, Dragana, 1960-
Nikezić, Dragoslav, 1953-
Mrđa, Dušan, 1977-
Marković, Vladimir, 1981-
Ova doktorska disertacija fokusirana je na primenu Monte Carlo metoda u unapređenjuradioterapije i evaluaciji radioekoloških rizika. U okviru medicinskog dela istraživanja,korišćen je program FOTELP-VOX, čija je nova nadograđena verzija – FOTELP-VOX-OA –razvijena radi preciznijeg modelovanja raspodele doza zračenja unutar ljudskog tela pritretmanu različitih vrsta tumora, uključujući melanom oka, rak dojke i tumore limfnih žlezda.Inovativni pristup, koji može koristi paralelne i distribuirane mogućnosti JARE optimizacijskogokvira, omogući će značajno ubrzanje procesa optimizacije i smanjenje manuelnih iteracija,čime bi se postiglo personalizovano planiranje tretmana uz minimizaciju rizika za organe odrizika.Pored primene u medicini, disertacija se bavi i primenom Monte Carlo softvera MCNP(verzija 6.2) u simulacijama spoljašnjeg ozračivanja, s posebnim osvrtom na distribucijuizotopa 137Cs u zemljištu. Na osnovu eksperimentalnih podataka o vertikalnoj raspodeli 137Cs,izvršeni su proračuni konverzionih koeficijenata i efektivne doze za pojedinačne organe,koristeći ICRP i ORNL fantome. Razvijen je i intuitivan grafički korisnički interfejs otvorenogkoda, koji omogućava jednostavnu i preciznu procenu ekvivalentne doze u različitimhumanoidnim modelima.Rezultati istraživanja predstavljaju doprinos u oblasti radijacione i medicinske fizike, sapotencijalnom primenom u kliničkoj praksi, hitnim situacijama radijacione zaštite i obucistručnjaka, čime se unapređuje efikasnost i sigurnost tretmana zračenjem.
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This doctoral dissertation focuses on the application of Monte Carlo methods to improveradiotherapy and evaluate radioecological risks. In the medical part of the research, theFOTELP-VOX program was used, whose new enhanced version—FOTELP-VOX-OA—wasdeveloped for more precise modeling of radiation dose distribution within the human bodyduring the treatment of various tumor types, including ocular melanoma, breast cancer, andlymph node tumors. An innovative approach, which can leverage the parallel and distributedcapabilities of the JARE optimization framework, will enable a significant acceleration of theoptimization process and a reduction in manual iterations, thereby achieving personalizedtreatment planning while minimizing the risk to organs at risk.In addition to its application in medicine, the dissertation also addresses the use of theMonte Carlo software MCNP (version 6.2) in simulating outdoor radiation conditions, with aspecial focus on the distribution of the 137Cs isotope in soil. Based on experimental dataregarding the vertical distribution of 137Cs, conversion coefficients and effective doses forindividual organs were calculated using ICRP and ORNL phantoms. An intuitive open-sourcegraphical user interface was also developed, allowing for a simple and accurate assessment ofthe equivalent dose in various humanoid models.The research results represent a contribution to the fields of radiation and medicalphysics, with potential applications in clinical practice, emergency radiation protection, andspecialist training, thereby enhancing the efficiency and safety of radiation treatments.
srpski
2025
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