Comparative assessment of different computational models for generation of X-ray spectra in diagnostic radiology and mammography

Author

Ay, M.R. ; Sarkar, S. ; Shahriari, M. ; Sardari, D. ; Zaidi, H.

Author_Institution

Dept. of Phys. & Nucl. Sci., Amirkabir Univ. of Technol., Tehran

Volume

7

fYear

2004

fDate

16-22 Oct. 2004

Firstpage

4190

Lastpage

4194

Abstract

The X-ray spectra predicted by different computational models used in diagnostic radiology and mammography energy range has been assessed by comparison with experimentally measured spectra. The comparative assessment encompassed many figures of merit including qualitative assessment of the spectra shape, the difference in K X-ray yield, transmission curves, half value layers (HVLs) and absorbed dose and effective dose equivalent (EDE) imparted to the adult ORNL hermaphroditic phantom when using X-ray spectra generated with different models at different tube voltages. The calculated spectra with X-raytbc and IPEM agreed well with measured spectra in diagnostic radiology and mammography energy range, respectively. The student´s t-test statistical analysis showed there is no statistically significant difference between measured and generated spectra for all computational models investigated in this study. In addition, the MCNP4C-based Monte Carlo calculations showed there is no discernable discrepancy in the calculation of absorbed dose and EDE in the adult ORNL hermaphroditic phantom when using different computational models for generating the X-ray spectra

Keywords

Monte Carlo methods; diagnostic radiography; dosimetry; mammography; medical computing; phantoms; K X-ray yield; MCNP4C-based Monte Carlo calculations; X-ray spectra; absorbed dose; adult ORNL hermaphroditic phantom; computational models; diagnostic radiology; effective dose equivalent; half value layers; mammography; spectra shape; t-test statistical analysis; transmission curves; Computational modeling; Energy measurement; Mammography; Monte Carlo methods; Nuclear and plasma sciences; Optical imaging; Physics; Predictive models; Radiology; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2004 IEEE

Conference_Location

Rome

ISSN

1082-3654

Print_ISBN

0-7803-8700-7

Electronic_ISBN

1082-3654

Type

conf

DOI

10.1109/NSSMIC.2004.1466815

Filename

1466815