Particle-beam-dependent optimization for Monte Carlo simulation in hadrontherapy using tetrahedral geometries
| Autor: | Michael Beuve, Behzad Shariat, Yazid Touileb, Hamid Ladjal |
|---|---|
| Přispěvatelé: | Simulation, Analyse et Animation pour la Réalité Augmentée (SAARA), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), CAS-PHABIO, Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Labex PRIMES |
| Rok vydání: | 2018 |
| Předmět: |
Materials science
Monte Carlo method Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Radiation Protection Path length Neoplasms [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Proton Therapy Humans Radiology Nuclear Medicine and imaging Computer Simulation Particle beam Radiometry Radiological and Ultrasound Technology Phantoms Imaging Radiotherapy Planning Computer-Assisted [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Computational physics 030220 oncology & carcinogenesis Tetrahedron Reduction (mathematics) Tomography X-Ray Computed Monte Carlo Method Level of detail Beam (structure) Algorithms |
| Zdroj: | Physics in Medicine and Biology Physics in Medicine and Biology, IOP Publishing, 2018, 63 (13), pp.135021. ⟨10.1088/1361-6560/aacbe5⟩ |
| ISSN: | 1361-6560 0031-9155 |
| Popis: | International audience; The use of tetrahedral-based phantoms in conjunction with Monte Carlo dose calculation techniques has shown high capabilities in radiation therapy. However, the generation of a precise dose distribution can be very time-consuming since a fine tetrahedral mesh is required. In this work, we propose a new method that defines the density distribution of patient-specific tetrahedral phantoms, based upon the CT-scans and the direction of the particle beam. The final purpose is to coarsen the tetrahedral mesh to improve computational performance in Monte Carlo simulations while guaranteeing a precise dose distribution in the target volume. Contrarily to the state of the art methods that calculate the density value of a tetrahedron, locally based only on the CT-scans, our approach takes also into account the direction of the beam to minimize the error of the water equivalent thickness of the tetrahedrons before the tumor volume. In this study, the experiments carried out on a multi-layer computational phantom, and a thorax geometry, show that by applying our method on a coarse mesh, we offer a better dose distribution inside the tumor compared to other density mapping methods, in the same level of detail. This is due to the reduction of the water equivalent path length error from 9.65 $mm$ to 0.62 $mm$ in the case the multi-layer phantom, and from 2.42 $mm$ to 0.48 $mm$ for the thorax geometry. Moreover, a similar dose coverage is obtained with refined tetrahedral meshes. As a consequence of the reduction of the number of tetrahedrons, computational time is found to be 25\% shorter than both the refined tetrahedral mesh and the voxel-based structure in most cases. Using a coarse tetrahedral mesh to have accurate dose distributions on a given target is feasible as long as the water equivalent path length in the direction of the beam is respected. |
| Databáze: | OpenAIRE |
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