Application of the Monte Carlo programs FOTELP and MCNP for simulations of ionizing particle transport in radioecology and medicine

[M. P. Živković]

[11], 118, [5] listova

Ova doktorska disertacija fokusirana je na primenu Monte Carlo metoda u unapređenju radioterapije 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 pri tretmanu različitih vrsta tumora, uključujući melanom oka, rak dojke i tumore limfnih žlezda. Inovativni pristup, koji može koristi paralelne i distribuirane mogućnosti JARE optimizacijskog okvira, omogući će značajno ubrzanje procesa optimizacije i smanjenje manuelnih iteracija, čime bi se postiglo personalizovano planiranje tretmana uz minimizaciju rizika za organe od rizika. Pored primene u medicini, disertacija se bavi i primenom Monte Carlo softvera MCNP (verzija 6.2) u simulacijama spoljašnjeg ozračivanja, s posebnim osvrtom na distribuciju izotopa 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 otvorenog koda, koji omogućava jednostavnu i preciznu procenu ekvivalentne doze u različitim humanoidnim modelima. Rezultati istraživanja predstavljaju doprinos u oblasti radijacione i medicinske fizike, sa potencijalnom primenom u kliničkoj praksi, hitnim situacijama radijacione zaštite i obuci stručnjaka, čime se unapređuje efikasnost i sigurnost tretmana zračenjem.

This doctoral dissertation focuses on the application of Monte Carlo methods to improve radiotherapy and evaluate radioecological risks. In the medical part of the research, the FOTELP-VOX program was used, whose new enhanced version—FOTELP-VOX-OA—was developed for more precise modeling of radiation dose distribution within the human body during the treatment of various tumor types, including ocular melanoma, breast cancer, and lymph node tumors. An innovative approach, which can leverage the parallel and distributed capabilities of the JARE optimization framework, will enable a significant acceleration of the optimization process and a reduction in manual iterations, thereby achieving personalized treatment planning while minimizing the risk to organs at risk. In addition to its application in medicine, the dissertation also addresses the use of the Monte Carlo software MCNP (version 6.2) in simulating outdoor radiation conditions, with a special focus on the distribution of the 137Cs isotope in soil. Based on experimental data regarding the vertical distribution of 137Cs, conversion coefficients and effective doses for individual organs were calculated using ICRP and ORNL phantoms. An intuitive open-source graphical user interface was also developed, allowing for a simple and accurate assessment of the equivalent dose in various humanoid models. The research results represent a contribution to the fields of radiation and medical physics, with potential applications in clinical practice, emergency radiation protection, and specialist training, thereby enhancing the efficiency and safety of radiation treatments.

Monte Carlo • Radioterapija • Optimizacija tretmana • Fantom • Medicinska fizika • FOTELP-VOX

Monte Carlo • Radiotherapy • Treatment Optimization • Phantom • Medical Physics • FOTELP-VOX

539.16:536.911(497.11)(043.3) 615.849.6(497.11)(043.3)

Jonizacija - Monte Karlo metodе - Srbija

Nuklearna medicina - Monte Karlo metodе - Srbija

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