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A comparison of the CT-dosimetry software packages based on stylized and boundary representation phantoms
1Department of Radiological Sciences, Applied Medical Sciences College, Najran University, Najran, 1966, Saudi Arabia.
Introduction:
With the rapid development of computed tomography (CT) equipment, the assessment of effective and organ dose using suitable tools becomes an important issue and will provide health professionals with useful information regarding the radiation risks and the development of standard imaging protocols. Different clinical centres and/or institutions may use several software packages, each with different methods and algorithms for CT dose evaluation. Consequently, radiation doses calculated with these computer software packages might be different for the same patient and representative scanner models.
Methods:
The effective and organ doses calculated by VirtualDose, CT-expo, and ImPACT software were compared for both males and females using kidney, chest, head, pelvis, abdomen, and whole-body CT protocols. The calculation of radiation dose in these software depends on the use of stylized and boundary representation (BREP) phantoms.
Results:
In general, the results showed that there was a discrepancy between the effective dose values calculated by the three packages. The effective dose in all examinations varied by factors ranging from 1.1 to 1.5 for male and from 1.1 to 1.3 for female. For the female phantom, the VirtualDose shows the highest effective doses in kidney and abdomen examinations while CT-expo gives the highest doses for head and pelvis examinations. For the male phantom, the VirtualDose shows the highest effective doses were for chest examinations.
Conclusion:
VirtualDose approach gives the most accurate estimation, however, further work using a size-based method are necessary to improve the assessment of the effective and equivalent organ dose in CT examinations using these packages.
Implications For Practice:
The re-evaluation dosimetry software in comparison with patient size would allow for a more accurate estimation of dose and support the optimization process.
