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2016
DOI: 10.1118/1.4939808
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Evaluation of a commercial MRI Linac based Monte Carlo dose calculation algorithm with geant 4

Abstract: The GPUMCD algorithm showed good agreement against GEANT4 both in the presence and absence of a 1.5 T external magnetic field. The application of 1.5 T magnetic field significantly alters the dose at the interfaces by either increasing or decreasing the dose depending upon the density of the material on either side of the interfaces.

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Cited by 86 publications
(91 citation statements)
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References 37 publications
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“…Although both the GPUMCD and XVMC algorithms were well within the uncertainty of the film measurements in these two phantoms, the systematic dose difference of up to 2% in the tumor‐in‐lung phantom and 3% in the lung phantom needs to be explored further. In a recent simulation study (26) comparing the performance of a standalone GPUMCD code with GEANT4, similar underestimated results were found when the lung density of 0.26 g/cc was used in the GEANT4 simulations. The currently used radiological data in Monaco are obtained from ICRP‐46 (14) where the density of 1.05 g/cc is used for lung tissue.…”
Section: Discussionsupporting
confidence: 58%
“…Although both the GPUMCD and XVMC algorithms were well within the uncertainty of the film measurements in these two phantoms, the systematic dose difference of up to 2% in the tumor‐in‐lung phantom and 3% in the lung phantom needs to be explored further. In a recent simulation study (26) comparing the performance of a standalone GPUMCD code with GEANT4, similar underestimated results were found when the lung density of 0.26 g/cc was used in the GEANT4 simulations. The currently used radiological data in Monaco are obtained from ICRP‐46 (14) where the density of 1.05 g/cc is used for lung tissue.…”
Section: Discussionsupporting
confidence: 58%
“…For constructions where the magnetic field is orthogonal to the radiation beam, there are adverse effects on the patient dose distribution due to the Lorentz effect, causing high dose depositions at air-tissue interfaces as well as shifted beam profiles. 23 As a result, for any MRIgRT solution where the beam passes through a magnetic field, dose distributions must be modeled using a Monte Carlo-based treatment planning system. 24 Electron recoils that are adversely affected by the magnetic field (such as at air-tissue interfaces) can be at least partially addressed by judicious selection of incoming beam angles as well as inverse optimization, as long as these are correctly modeled in a Monte Carlo TPS.…”
Section: Daily In-room Treatment Imagingmentioning
confidence: 99%
“…and Paudel et al. demonstrated this in studies validating the accuracy of Monaco's GPUMCD algorithm with and without the magnetic field, and in heterogeneous phantoms of varying material types and densities 19, 22, 23. With increasing numbers of beam angles (from TAN to IMRT to VMAT geometries) more and more beam angles enter the patient closely to the tumor location.…”
Section: Discussionmentioning
confidence: 80%
“…This raises the questions: in this study, was it realistic to neglect EC liberated in the cryostat if the B 0 field was turned off, and is the EC a large contribution to skin dose in a standard linac? To resolve this, we adapted work we performed validating Monaco's GPUMCD algorithm using the Geant4 MC platform 19. A model of the MRI‐Linac beam and cryostat were modeled in Geant4 with a 30 × 30 × 30 cm phantom in the path of the beam.…”
Section: Discussionmentioning
confidence: 99%
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