Monte Carlo calculation of perturbation correction factors for air-filled ionization chambers in clinical proton beams using TOPAS/GEANT

Baumann, Kilian-Simon; Kaupa, Sina; Bach, Constantin; Engenhart‐Cabillic, Rita; Zink, Klemens

doi:10.1016/j.zemedi.2020.08.004

Cited by 12 publications

(27 citation statements)

References 39 publications

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“…To our knowledge, this is the first study reporting perturbation correction factors for ICs in carbon ion beams. The p dis correction has previously been studied by various groups in clinical proton beams 11,49,50 . The displacement correction has been reported to be <1% in these previous works for all studied parallel‐plate ICs, which agrees with the magnitude of the correction found in this work.…”

Section: Discussionsupporting

confidence: 89%

“…The perturbation due to the presence of the wall has previously been reported to be a major contributor to the total perturbation correction in clinical proton beams 11,49,50 . Kretschmer et al.…”

Section: Discussionmentioning

confidence: 99%

“…For cylindrical ICs, a p dis correction of up to 4.5%, at lower proton energies, has been previously found for farmer type ICs, which reduced to 2.0% for cylindrical ICs with smaller sensitive volumes. 11,50 Therefore, parallel-plate ICs are recommended for lower proton energies. The largest displacement correction for carbon ion beams in this work was calculated to be 1.70% and is expected to increase for carbon ion energies smaller than the lowest energy beam investigated in this work, that is, 150 MeV/u.…”

Section: Perturbation Correction Factormentioning

confidence: 99%

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On the perturbation effect and LET dependence of beam quality correction factors in carbon ion beams

et al. 2022

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Background: In a recent study, we reported beam quality correction factors, f Q , in carbon ion beams using Monte Carlo (MC) methods for a cylindrical and a parallel-plate ionization chamber (IC). A non-negligible perturbation effect was observed; however, the magnitude of the perturbation correction due to the specific IC subcomponents was not included. Furthermore, the stopping power data presented in the International Commission on Radiation Units and Measurements (ICRU) report 73 were used, whereas the latest stopping power data have been reported in the ICRU report 90. Purpose: The aim of this study was to extend our previous work by computing f Q correction factors using the ICRU 90 stopping power data and by reporting ICspecific perturbation correction factors.Possible energy or linear energy transfer (LET) dependence of the f Q correction factor was investigated by simulating both pristine beams and spread-out Bragg peaks (SOBPs). Methods: The TOol for PArticle Simulation (TOPAS)/GEANT4 MC code was used in this study. A 30 × 30 × 50 cm 3 water phantom was simulated with a uniform 10 × 10 cm 2 parallel beam incident on the surface. A Farmer-type cylindrical IC (Exradin A12) and two parallel-plate ICs (Exradin P11 and A11) were simulated in TOPAS using the manufacturer-provided geometrical drawings. The f Q correction factor was calculated in pristine carbon ion beams in the 150-450 MeV/u energy range at 2 cm depth and in the middle of the flat region of four SOBPs. The k Q correction factor was calculated by simulating the f Qo correction factor in a 60 Co beam at 5 cm depth. The perturbation correction factors due to the presence of the individual IC subcomponents, such as the displacement effect in the air cavity, collecting electrode, chamber wall, and chamber stem, were calculated at 2 cm depth for monoenergetic beams only. Additionally, the mean dose-averaged and track-averaged LET was calculated at the depths at which the f Q was calculated. Results: The ICRU 90 f Q correction factors were reported. The p dis correction factor was found to be significant for the cylindrical IC with magnitudes up to 1.70%. The individual perturbation corrections for the parallel-plate ICs were <1.0% except for the A11 p cel correction at the lowest energy. The f Q correction for the P11 IC exhibited an energy dependence of >1.00% and displayed differences up to 0.87% between pristine beams and SOBPs. Conversely, the f Q for A11 and A12 displayed a minimal energy dependence of <0.50%. The energy dependence was found to manifest in the LET dependence for the P11 IC. A statistically significant LET dependence was found only for the P11 IC in pristine beams only with a magnitude of <1.10%.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Perturbation Correction Factormentioning

confidence: 99%

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On the perturbation effect and LET dependence of beam quality correction factors in carbon ion beams

et al. 2022

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“…Differences are in the particles of interest as well as the energy region of interest. As in HEP, MC simulations are a powerful tool to optimize detectors and treatment devices [83,84]. In fact, for radiation therapy or diagnostic imaging, MC are not only being employed by researchers but also by vendors to optimize their equipment.…”

Section: Detector Design Studiesmentioning

confidence: 99%

Detector Simulation Challenges for Future Accelerator Experiments

Apostolakis

Bandieramonte²,

Banerjee³

et al. 2022

Front. Phys.

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Detector simulation is a key component for studies on prospective future high-energy colliders, the design, optimization, testing and operation of particle physics experiments, and the analysis of the data collected to perform physics measurements. This review starts from the current state of the art technology applied to detector simulation in high-energy physics and elaborates on the evolution of software tools developed to address the challenges posed by future accelerator programs beyond the HL-LHC era, into the 2030–2050 period. New accelerator, detector, and computing technologies set the stage for an exercise in how detector simulation will serve the needs of the high-energy physics programs of the mid 21st century, and its potential impact on other research domains.

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“…Several computational codes, based on Monte Carlo simulation, have been used in radiological protection, radiotherapy source dosimetry, planning systems, and other applications PENELOPE [1][2][3][4][5][6], MCNP [7][8][9][10][11], EGSnrc [12][13][14][15], FLUKA [16][17][18][19][20], TOPAS [21][22][23][24][25], GAMOS [26][27][28][29], Geant [30,31].…”

Section: Introductionmentioning

confidence: 99%

Applications of Simulation Codes Based on Monte Carlo Method for Radiotherapy

Knoll¹,

Quevedo²,

Sanchez³

2022

The Monte Carlo Methods - Recent Advances, New Perspectives and Applications

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Monte Carlo simulations have been applied to determine and study different parameters that are challenged in experimental measurements, due to its capability in simulating the radiation transport with a probability distribution to interact with electrosferic electrons and some cases with the nucleus from an arbitrary material, which such particle track or history can carry out physical quantities providing data from a studied or investigating quantities. For this reason, simulation codes, based on Monte Carlo, have been proposed. The codes currently available are MNCP, EGSnrc, Geant, FLUKA, PENELOPE, as well as GAMOS and TOPAS. These simulation codes have become a tool for dose and dose distributions, essentially, but also for other applications such as design clinical, tool for commissioning of an accelerator linear, shielding, radiation protection, some radiobiologic aspect, treatment planning systems, prediction of data from results of simulation scenarios. In this chapter will be present some applications for radiotherapy procedures with use, specifically, megavoltage x-rays and electrons beams, in scenarios with homogeneous and anatomical phantoms for determining dose, dose distribution, as well dosimetric parameters through the PENELOPE and TOPAS code.

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Monte Carlo calculation of perturbation correction factors for air-filled ionization chambers in clinical proton beams using TOPAS/GEANT

Cited by 12 publications

References 39 publications

On the perturbation effect and LET dependence of beam quality correction factors in carbon ion beams

On the perturbation effect and LET dependence of beam quality correction factors in carbon ion beams

Detector Simulation Challenges for Future Accelerator Experiments

Applications of Simulation Codes Based on Monte Carlo Method for Radiotherapy

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