A Review of the Recent Monte Carlo (MC) Simulation for Dosimetry in Mammographic Applications
- Author:
Zaker Salehi
1
Author Information
1. Department of Radiation Sciences, Yasuj University of Medical Sciences, Yasuj,Iran
- Collective Name:Zaker Salehi; Elnaz Balvas; Mohd Zahri Abdul Aziz
- Publication Type:Journal Article
- Keywords:
Monte Carlo simulation;
Mammography;
Dosimetry;
Dose
- MeSH:
Mammography
- From:Malaysian Journal of Medicine and Health Sciences
2018;14(Supplement 1):76-81
- CountryMalaysia
- Language:English
-
Abstract:
The Monte Carlo (MC) method was utilized widely to various problems like an absorbed dose calculation as the method able to apply in a complex geometry such as mammography. Since 1980, the approach was utilized in mammographic dosimetry to calculate the backscatter factor and absorbed dose in breast phantoms because it was considered as the most accurate dose calculation algorithm in several experimental setup. This paper provides a review of the applications of Monte Carlo simulation (MC) for the process dosimetry in mammography. In comparison to experimental measurements, this approach poses a minimum calculation uncertainty (less than 2%), realistic measurement positions, and appropriate for low-energy radiation simulation. The applications of the MC codes in mammography, such as radiation modelling, organ dose calculation, tumor growth analysis, etc., were discussed in this review.
- Full text:11.2018my0317.pdf
