期刊
JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES
卷 16, 期 3, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jrras.2023.100632
关键词
Monte Carlo; Dosimetry; Gamma Knife; MRI; EGSnrc
This study investigates the feasibility of using Magnetic Resonance Imaging (MRI) in combination with the Gamma Knife Icon (GKITM) for real-time monitoring during radiosurgery. A Monte Carlo simulation was conducted to examine the effects of the MRI scanner Magnetic Field (MF) on the dose distribution of GKITM. The study found that the MF has a significant impact on the dose distribution, with higher intensities and smaller collimator sizes showing more prominent effects.
This study explores the feasibility of integrating Magnetic Resonance Imaging (MRI) with the Gamma Knife Icon (GKITM) for real-time monitoring during radiosurgery. The use of MRI could improve treatment accuracy and safety, but combining it with GKITM poses dosimetric challenges due to the Lorentz force exerted by the MR scanner Magnetic Field (MF). A comprehensive GKITM Monte Carlo (MC) simulation was conducted to investigate the changes induced by MF on the dose distribution of GKITM. The simulation was validated using profile curves and output factors (OFs). Five MF intensities were applied for different collimator sizes, and changes in physical penumbra width and Full Width at Half Maximum (FWHM) were calculated. The study found that the effect of MF on the dose distribution of the GKITM is more prominent in high-intensity fields and smaller collimator sizes. The observed lateral displacement of up to 1 mm is significant, considering the device's nominal 0.25 mm precision. The results indicate that a 7 T magnetic field is the most suitable choice for the hypothetical MR-GK device, considering the penumbra width reduction and potential improvements in image quality. However, significant engineering and cost-related challenges are associated with integrating these two devices, and further research is necessary to investigate the feasibility and safety of combining these two technologies in clinical settings.
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