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Development of 3D biological effective dose distribution software program

Published online by Cambridge University Press:  09 September 2016

Patchareewan Khadsiri
Affiliation:
Medical Physics Master Degree Program, Department of Radiology, Chiang Mai University, Chiang Mai, Thailand
Ekkasit Tharavichitkul*
Affiliation:
The Division of Therapeutic Radiology and Oncology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
Suwit Saekho
Affiliation:
The Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
Nisa Chawapun
Affiliation:
The Division of Therapeutic Radiology and Oncology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
*
Correspondence to: Ekkasit Tharavichitkul, The Division of Therapeutic Radiology and Oncology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand. E-mail: [email protected]

Abstract

Purpose

To develop a software program to convert physical dose distribution into biological effective dose (BED).

Methods

The MATLAB-based BED distribution software program was designed to import the radiotherapy treatment plan from the computer treatment planning system and to convert the physical dose distribution into the BED distribution. The BED calculation was based on the linear-quadratic-linear model (LQ-L model). Besides radiobiological parameters, other specific data could be fed in through the panel. The accuracy of the program was verified by comparing the BED distribution with manual calculation.

Results

This software program was able to import the radiotherapy treatment plans and pull out pixel-wised physical dose for BED calculation, and display the isoBED lines on the computed tomographic (CT) image. The verification of BED dose distribution was performed in both phantom and clinical cases. It revealed that there were no differences between the program and manual BED calculations.

Conclusion

It is feasible and practical to use this in-house BED distribution software program in clinical practices and research work. However, it should be used with caution as the validity of the program depends on the accuracy of the published biological parameters.

Type
Original Articles
Copyright
© Cambridge University Press 2016 

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