A quantitative assessment of Geant4 for predicting the yield and distribution of positron-emitting fragments in ion beam therapy.
Chacon, A
Rutherford, H
Hamato, A
Nitta, M
Nishikido, F
Iwao, Y
Tashima, H
Yoshida, E
Akamatsu, G
Takyu, S
Kang, HG
Franklin, DR
Parodi, K
Yamaya, T
Rosenfeld, A
Guatelli, S
Safavi-Naeini, M
- Publisher:
- IOP Publishing Ltd
- Publication Type:
- Journal Article
- Citation:
- Phys Med Biol, 2024, 69, (12)
- Issue Date:
- 2024-06-11
Open Access
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is open access.
Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Chacon, A | |
dc.contributor.author | Rutherford, H | |
dc.contributor.author | Hamato, A | |
dc.contributor.author | Nitta, M | |
dc.contributor.author | Nishikido, F | |
dc.contributor.author | Iwao, Y | |
dc.contributor.author | Tashima, H | |
dc.contributor.author | Yoshida, E | |
dc.contributor.author | Akamatsu, G | |
dc.contributor.author | Takyu, S | |
dc.contributor.author | Kang, HG | |
dc.contributor.author | Franklin, DR | |
dc.contributor.author | Parodi, K | |
dc.contributor.author | Yamaya, T | |
dc.contributor.author | Rosenfeld, A | |
dc.contributor.author | Guatelli, S | |
dc.contributor.author | Safavi-Naeini, M | |
dc.date.accessioned | 2024-09-11T02:46:24Z | |
dc.date.available | 2024-05-22 | |
dc.date.available | 2024-09-11T02:46:24Z | |
dc.date.issued | 2024-06-11 | |
dc.identifier.citation | Phys Med Biol, 2024, 69, (12) | |
dc.identifier.issn | 0031-9155 | |
dc.identifier.issn | 1361-6560 | |
dc.identifier.uri | http://hdl.handle.net/10453/180787 | |
dc.description.abstract | Objective.To compare the accuracy with which different hadronic inelastic physics models across ten Geant4 Monte Carlo simulation toolkit versions can predict positron-emitting fragments produced along the beam path during carbon and oxygen ion therapy.Approach.Phantoms of polyethylene, gelatin, or poly(methyl methacrylate) were irradiated with monoenergetic carbon and oxygen ion beams. Post-irradiation, 4D PET images were acquired and parent11C,10C and15O radionuclides contributions in each voxel were determined from the extracted time activity curves. Next, the experimental configurations were simulated in Geant4 Monte Carlo versions 10.0 to 11.1, with three different fragmentation models-binary ion cascade (BIC), quantum molecular dynamics (QMD) and the Liege intranuclear cascade (INCL++) - 30 model-version combinations. Total positron annihilation and parent isotope production yields predicted by each simulation were compared between simulations and experiments using normalised mean squared error and Pearson cross-correlation coefficient. Finally, we compared the depth of the maximum positron annihilation yield and the distal point at which the positron yield decreases to 50% of peak between each model and the experimental results.Main results.Performance varied considerably across versions and models, with no one version/model combination providing the best prediction of all positron-emitting fragments in all evaluated target materials and irradiation conditions. BIC in Geant4 10.2 provided the best overall agreement with experimental results in the largest number of test cases. QMD consistently provided the best estimates of both the depth of peak positron yield (10.4 and 10.6) and the distal 50%-of-peak point (10.2), while BIC also performed well and INCL generally performed the worst across most Geant4 versions.Significance.The best predictions of the spatial distribution of positron annihilations and positron-emitting fragment production along the beam path during carbon and oxygen ion therapy was obtained using Geant4 10.2.p03 with BIC or QMD. These version/model combinations are recommended for future heavy ion therapy research. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | IOP Publishing Ltd | |
dc.relation.ispartof | Phys Med Biol | |
dc.relation.isbasedon | 10.1088/1361-6560/ad4f48 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 0299 Other Physical Sciences, 0903 Biomedical Engineering, 1103 Clinical Sciences | |
dc.subject.classification | Nuclear Medicine & Medical Imaging | |
dc.subject.classification | 5105 Medical and biological physics | |
dc.subject.mesh | Monte Carlo Method | |
dc.subject.mesh | Electrons | |
dc.subject.mesh | Heavy Ion Radiotherapy | |
dc.subject.mesh | Positron-Emission Tomography | |
dc.subject.mesh | Phantoms, Imaging | |
dc.subject.mesh | Positron-Emission Tomography | |
dc.subject.mesh | Monte Carlo Method | |
dc.subject.mesh | Phantoms, Imaging | |
dc.subject.mesh | Electrons | |
dc.subject.mesh | Heavy Ion Radiotherapy | |
dc.subject.mesh | Monte Carlo Method | |
dc.subject.mesh | Electrons | |
dc.subject.mesh | Heavy Ion Radiotherapy | |
dc.subject.mesh | Positron-Emission Tomography | |
dc.subject.mesh | Phantoms, Imaging | |
dc.title | A quantitative assessment of Geant4 for predicting the yield and distribution of positron-emitting fragments in ion beam therapy. | |
dc.type | Journal Article | |
utslib.citation.volume | 69 | |
utslib.location.activity | England | |
utslib.for | 0299 Other Physical Sciences | |
utslib.for | 0903 Biomedical Engineering | |
utslib.for | 1103 Clinical Sciences | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | University of Technology Sydney/Strength - CRIN - Realtime Information Networks | |
pubs.organisational-group | University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2024-09-11T02:46:23Z | |
pubs.issue | 12 | |
pubs.publication-status | Published online | |
pubs.volume | 69 | |
utslib.citation.issue | 12 |
Abstract:
Objective.To compare the accuracy with which different hadronic inelastic physics models across ten Geant4 Monte Carlo simulation toolkit versions can predict positron-emitting fragments produced along the beam path during carbon and oxygen ion therapy.Approach.Phantoms of polyethylene, gelatin, or poly(methyl methacrylate) were irradiated with monoenergetic carbon and oxygen ion beams. Post-irradiation, 4D PET images were acquired and parent11C,10C and15O radionuclides contributions in each voxel were determined from the extracted time activity curves. Next, the experimental configurations were simulated in Geant4 Monte Carlo versions 10.0 to 11.1, with three different fragmentation models-binary ion cascade (BIC), quantum molecular dynamics (QMD) and the Liege intranuclear cascade (INCL++) - 30 model-version combinations. Total positron annihilation and parent isotope production yields predicted by each simulation were compared between simulations and experiments using normalised mean squared error and Pearson cross-correlation coefficient. Finally, we compared the depth of the maximum positron annihilation yield and the distal point at which the positron yield decreases to 50% of peak between each model and the experimental results.Main results.Performance varied considerably across versions and models, with no one version/model combination providing the best prediction of all positron-emitting fragments in all evaluated target materials and irradiation conditions. BIC in Geant4 10.2 provided the best overall agreement with experimental results in the largest number of test cases. QMD consistently provided the best estimates of both the depth of peak positron yield (10.4 and 10.6) and the distal 50%-of-peak point (10.2), while BIC also performed well and INCL generally performed the worst across most Geant4 versions.Significance.The best predictions of the spatial distribution of positron annihilations and positron-emitting fragment production along the beam path during carbon and oxygen ion therapy was obtained using Geant4 10.2.p03 with BIC or QMD. These version/model combinations are recommended for future heavy ion therapy research.
Please use this identifier to cite or link to this item:
Download statistics for the last 12 months
Not enough data to produce graph