scholarly journals Automatic 3D Monte-Carlo-based secondary dose calculation for online verification of 1.5 T magnetic resonance imaging guided radiotherapy

2021 ◽  
Vol 19 ◽  
pp. 6-12
Author(s):  
Marcel Nachbar ◽  
David Mönnich ◽  
Oliver Dohm ◽  
Melissa Friedlein ◽  
Daniel Zips ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Monte Carlo ◽  
Magnetic Resonance ◽  
Dose Calculation ◽  
Resonance Imaging ◽  
3D Monte Carlo ◽  
Online Verification ◽  
Secondary Dose

scholarly journals Diffusion Microscopist Simulator: A General Monte Carlo Simulation System for Diffusion Magnetic Resonance Imaging

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e76626 ◽  
Author(s):  
Chun-Hung Yeh ◽  
Benoît Schmitt ◽  
Denis Le Bihan ◽  
Jing-Rebecca Li-Schlittgen ◽  
Ching-Po Lin ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Magnetic Resonance ◽  
Diffusion Magnetic Resonance Imaging ◽  
Simulation System ◽  
Resonance Imaging

scholarly journals Clinically Delivered Treatment for Glioma Patients on a Hybrid Magnetic Resonance Imaging (MRI)-Linear Accelerator (MR-Linac) and a Cone Beam CT (CBCT)-Guided Linac: Dosimetric Comparisons with In Vivo Skin Dose Correlation

2021 ◽  
Author(s):  
Michael H. Wang ◽  
Anthony Kim ◽  
Mark Ruschin ◽  
Hendrick Tan ◽  
Hany Soliman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Monte Carlo ◽  
Magnetic Resonance ◽  
Linear Accelerator ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Skin Dose ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Mri

Abstract Background Magnetic Resonance Imaging (MRI)-Linear Accelerator (MR-Linac) radiotherapy requires special consideration for secondary electron interactions within the magnetic field, which can alter dose deposition at air-tissue interfaces. Methods Thirty-seven consecutive glioma patients treated during their radiotherapy course with at least one fraction delivered on MR-Linac or Cone Beam CT (CBCT)-guided Linac, were analyzed. Treatment planning for both systems were completed prior to radiotherapy initiation and approved for clinical delivery using commercial treatment planning systems (TPS): a Monte Carlo calculation-based or convolution calculation-based TPS for MR-Linac or CBCT-Linac, respectively. Dosimetric parameters for planning target volume (PTV), organs-at-risk (OARs), and air-tissue interface were compared. In vivo skin dose during a single fraction of MR-Linac and CBCT-Linac treatment was measured using an Optically Stimulated Luminescent Dosimeter (OSLD) and correlated with TPS skin dose. Results Monte Carlo-based MR-Linac plans and convolution-based CBCT-Linac plans exhibited minimal differences in PTV and OAR parameters. However, MR-Linac plans had greater doses within tissues surrounding air cavities (1.52 Gy higher mean Dmean, p < 0.0001) and skin (1.10 Gy higher mean Dmean, p < 0.0001). In vivo OSLD skin readings were 14.5% greater for MR-Linac treatments (p = 0.0027), and were more accurately predicted by Monte Carlo-based calculation (ρ = 0.95, p < 0.0001) vs. convolution-based (ρ = 0.80, p = 0.0096). Conclusions The magnetic field’s dosimetric impact was minimal for PTV and OARs in glioma as compared to standard CBCT-Linac treatment plans. However, skin doses were significantly greater with the MR-Linac and correlated with in vivo measurements. Future MR-Linac planning processes are being designed to account for skin dosimetry and treatment delivery.

scholarly journals Clinically Delivered Treatment for Glioma Patients on Hybrid Magnetic Resonance Imaging (MRI)-Linear Accelerator (MR-Linac) versus Cone Beam CT (CBCT)-Guided Linac

2021 ◽  
Author(s):  
Michael H. Wang ◽  
Anthony Kim ◽  
Mark Ruschin ◽  
Hendrick Tan ◽  
Hany Soliman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Monte Carlo ◽  
Magnetic Resonance ◽  
Linear Accelerator ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Skin Dose ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Mri

Abstract Magnetic Resonance Imaging (MRI)-Linear Accelerator (MR-Linac) radiotherapy is an innovative technology that requires special consideration for secondary electron interactions within the magnetic field, which can alter dose deposition at air-tissue interfaces. Thirty-seven consecutive glioma patients had treatment planning completed and approved prior to radiotherapy initiation using commercial treatment planning systems (TPS): a Monte Carlo-based or convolution-based TPS for MR-Linac or Cone Beam CT (CBCT)-guided Linac, respectively. In vivo skin dose was measured using an Optically Stimulated Luminescent Dosimeter (OSLD) and correlated with TPS skin dose. We found that Monte Carlo-based MR-Linac plans and convolution-based CBCT-Linac plans had similar dosimetric parameters for target volumes and organs-at-risk. However, MR-Linac plans had 1.52 Gy higher mean dose to air cavities (p<0.0001) and 1.10 Gy higher mean dose to skin (p<0.0001). In vivo skin dose was 14.5% greater for MR-Linac (p=0.0027), and were more accurately predicted by Monte Carlo-based calculation (ρ=0.95, p<0.0001) vs. convolution-based (ρ=0.80, p=0.0096). This is the first prospective dosimetric comparison of glioma patients clinically treated on both MR-Linac and CBCT-guided Linac. Skin doses were significantly greater with MR-Linac and correlated with in vivo measurements. Future MR-Linac planning processes are being designed to account for skin dosimetry and treatment delivery.

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