Monte Carlo simulation of radiation dose distribution in X-ray imaging at Shanghai Synchrotron Radiation Facility

The aim of this study is to investigate the dose distribution in the process of X-ray imaging at Shanghai Synchrotron Radiation Facility. We used the Monte Carlo software EGSnrc based on the statistics of the beamline BL13W to simulate the actual irradiation environment and calculate the dose distribution. Three different sizes of sources and two different tomographic models were created to predict the dose distribution at different regions of interest (ROI) with different fields of view (FOV). The simulation results showed that the dose in ROI is higher. The dose accumulated in the ROI with smaller FOV was more concentrated and relatively smaller compared with the larger FOV. This calculated dose distribution provides guidance for in-vivo animal experiments and other applications such as microbeam therapy.

[1]  Iwan Kawrakow,et al.  DOSXYZnrc Users Manual , 2016 .

[2]  Norma Banas,et al.  Visualization , 1968, Machine-mediated learning.

[3]  W. Marsden.  I and J , 2012 .

[4]  R. Cloutier.  Tissue Substitutes in Radiation Dosimetry and Measurement. , 1989 .

[5]  Jun Zhao,et al.  Investigation of dose for the triple-source computed tomography based on Monte Carlo Simulations , 2016 .

[6]  J. Choe,et al.  In vivo high-resolution synchrotron radiation imaging of collagen-induced arthritis in a rodent model. , 2010, Journal of synchrotron radiation.

[7]  A. Depaulis,et al.  Radiation Therapy Using Synchrotron Radiation: Preclinical Studies Toward Clinical Trials , 2011 .

[8]  石過 孝文.  Visualization, quantification and therapeutic evaluation of angiogenic vessels in cancer by synchrotron microangiography , 2004 .

[9]  Kim Goldstone.  , , International Commission on Radiation Units and Measurements, USA (1989). , 1990 .

[10]  J J DeMarco,et al.  A CT-based Monte Carlo simulation tool for dosimetry planning and analysis. , 1998, Medical physics.

[11]  David Sarrut,et al.  An efficient numerical tool for dose deposition prediction applied to synchrotron medical imaging and radiation therapy. , 2013, Journal of synchrotron radiation.

[12]  Yun Cheng-hao.  Survey and alignment design of Shanghai synchrotron radiation facility , 2006 .

[13]  B. Fraass,et al.  Summary and recommendations of a National Cancer Institute workshop on issues limiting the clinical use of Monte Carlo dose calculation algorithms for megavoltage external beam radiation therapy. , 2003, Medical physics.

[14]  T. Bortfeld,et al.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. , 2000, Physics in medicine and biology.

[15]  G Tromba,et al.  Glandular dose in breast computed tomography with synchrotron radiation , 2016, Physics in medicine and biology.

[16]  Emiliano Spezi,et al.  An overview of Monte Carlo treatment planning for radiotherapy. , 2008, Radiation protection dosimetry.

[17]  C. Ma,et al.  BEAM: a Monte Carlo code to simulate radiotherapy treatment units. , 1995, Medical physics.