Mohsen Mashayekhi1, Ali Asghar Mowlavi2, Sayyed Bijan Jia3. 1. Department of Physics, University of Hakim Sabzevari, Sabzevar, Iran. 2. Department of Physics, University of Hakim Sabzevari, Sabzevar, Iran; International Centre for Theoretical Physics (ICTP), Associate and Federation Schemes, Medical Physics Field, Trieste, Italy. 3. Department of Physics, University of Bojnord, Bojnord, Iran.
Abstract
AIM: The purpose of this work was to estimate the dependency between the produced positron emitters and the proton dose distribution as well as the dependency between points of annihilation and the proton dose distribution. BACKGROUND: One important feature of proton therapy is that, through the non-elastic nuclear interaction of protons with the target nuclei such as 12C, 14N and 16O, it produces a small number of positron-emitting radioisotopes along the beam-path. These radioisotopes allow imaging the Bragg peak position which is related to the proton dose distribution by using positron emission tomography. METHODS: In this study, the GEANT4 toolkit was applied to simulate a soft and bone tissue phantom in proton therapy to evaluate the positron emitter productions and the actual annihilation points of β+. Simulation was done by delivering pencil and spread-out Bragg peak (SOBP) proton beams. RESULTS: The findings showed that (15O, 11C, 13N) and (11C, 15O, 38K, 30P, 39Ca, 13N) are the most suitable positron emitters in the soft and bone tissue respectively. By increasing the proton energy, the distance between the peak of annihilation profile and Bragg peak is almost constant, but the distance between the Bragg peak position and positron annihilation point peak in bone tissue is smaller than that in the soft tissue. The peak of β+ activity distribution becomes sharper at higher proton energies. CONCLUSIONS: There is a good relationship between the positions of positron annihilation profile and positron emitters radioactive decay. Also, GEANT4 is a powerful and suitable tool for simulation of nuclear interactions and positron emitters in tissues.
AIM: The purpose of this work was to estimate the dependency between the produced positron emitters and the proton dose distribution as well as the dependency between points of annihilation and the proton dose distribution. BACKGROUND: One important feature of proton therapy is that, through the non-elastic nuclear interaction of protons with the target nuclei such as 12C, 14N and 16O, it produces a small number of positron-emitting radioisotopes along the beam-path. These radioisotopes allow imaging the Bragg peak position which is related to the proton dose distribution by using positron emission tomography. METHODS: In this study, the GEANT4 toolkit was applied to simulate a soft and bone tissue phantom in proton therapy to evaluate the positron emitter productions and the actual annihilation points of β+. Simulation was done by delivering pencil and spread-out Bragg peak (SOBP) proton beams. RESULTS: The findings showed that (15O, 11C, 13N) and (11C, 15O, 38K, 30P, 39Ca, 13N) are the most suitable positron emitters in the soft and bone tissue respectively. By increasing the proton energy, the distance between the peak of annihilation profile and Bragg peak is almost constant, but the distance between the Bragg peak position and positron annihilation point peak in bone tissue is smaller than that in the soft tissue. The peak of β+ activity distribution becomes sharper at higher proton energies. CONCLUSIONS: There is a good relationship between the positions of positron annihilation profile and positron emitters radioactive decay. Also, GEANT4 is a powerful and suitable tool for simulation of nuclear interactions and positron emitters in tissues.
Entities:
Keywords:
GEANT4 toolkit; Positron emitters; Proton therapy; β+ activity distribution
Authors: Chul Hee Min; Xuping Zhu; Brian A Winey; Kira Grogg; Mauro Testa; Georges El Fakhri; Thomas R Bortfeld; Harald Paganetti; Helen A Shih Journal: Int J Radiat Oncol Biol Phys Date: 2013-02-04 Impact factor: 7.038
Authors: Katia Parodi; Harald Paganetti; Helen A Shih; Susan Michaud; Jay S Loeffler; Thomas F DeLaney; Norbert J Liebsch; John E Munzenrider; Alan J Fischman; Antje Knopf; Thomas Bortfeld Journal: Int J Radiat Oncol Biol Phys Date: 2007-07-01 Impact factor: 7.038