Nuclear Techniques ›› 2019, Vol. 42 ›› Issue (11): 110301-110301.doi: 10.11889/j.0253-3219.2019.hjs.42.110301

• NUCLEAR CHEMISTRY, RADIOCHEMISTRY, RADIOPHARMACEUTICALS AND NUCLEAR MEDICINE • Previous Articles     Next Articles

MCNP simulations of medical diagnostic X-ray spectra

Yan KONG1,Weihai ZHUO2(),Bo CHEN2,Chao ZHAO3   

  1. 1. Department of Radiation Oncology, Affiliated Hospital of Jiangnan University (Wuxi 4th People’s Hospital), Wuxi 214062, China
    2. Institute of Radiology, Fudan University, Shanghai 200032, China
    3. Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
  • Received:2019-09-10 Revised:2019-09-20 Online:2019-11-10 Published:2019-11-18
  • Contact: Weihai ZHUO E-mail:whzhuo@fudan.edu.cn
  • About author:KONG Yan, female, born in 1987, graduated from Fudan University with a doctoral degree in 2014, focusing on radiation protection dosimetry
  • Supported by:
    Wuxi Health Care Commission Project(Q201767)

Abstract: Background

In medical diagnostic radiology, detailed knowledge of X-ray spectra is required for evaluating the image quality and patients’ or staff’s radiation dose.

Purpose

This study aims to simulate medical diagnostic X-ray spectra by using Monte Carlo method.

Methods

First of all, a simplified X-ray machine head geometry model was constructed in MCNP (A general Monte Carlo N-Particle transport code) software. Then, the X-ray spectra and surface source data files in the output window were calculated under tube voltage ranging from 50 kVP to 150 kVP, filter ranging from 0.5 mm (Al) to 5 mm (Al) and anode angles ranging from 6° to 14°.

Results

Database of medical diagnostic X-ray spectra and surface sources in the output window are obtained by various machine X-ray head parameters. The calculated spectra are comparable to those of other X-ray spectra software.

Conclusions

X-ray source and its spectra can be correctly simulated by electronically hitting the target through Monte Carlo simulation, providing a basis for future applications.

Key words: Diagnostic X-ray, X-ray spectra, Monte Carlo simulation

CLC Number: 

  • TL99