Calculations of Linac Photon Dose Distributions in Homogeneous Phantom Using Spline

Sadoughi, Hamid-Reza and Nasseri, Shahrokh and Momennezhad, Mahdi and Sadoghi-Yazdi, Hadi and Zare, Mohammad-Hossein and Bahreyni-Toosi, Mohammad-Hossein (2013) Calculations of Linac Photon Dose Distributions in Homogeneous Phantom Using Spline. Iranian Journal of Medical Physics, 10 (2). pp. 133-138.

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Introduction Relative dose computation is a necessary step in radiation treatment planning. Therefore, finding an approach that is both fast and accurate seems to be necessary. The purpose of this work was to investigate the feasibility of natural cubic spline to reconstruct dose maps for linear accelerator radiation treatment fields in comparison with those of the simulation. Materials and Methods A natural cubic spline algorithm was used to reproduce dose calculations of linac radiation treatment fields resulting from GEANT4 application for tomographic emission (GATE) simulation. The spline algorithm was used to compute percent depth dose of radiation therapy fields for 6 MV X-rays, which were calculated by simulation of Elekta Compact Linac. It reconstructed 2-dimensional dose maps and created isodose distributions. This dose maps were evaluated and compared with the simulation, where the γ -index was used. Results A good agreement was found between the doses calculated from the simulation and the spline. In particular, an average γ-index passing rate of 0.24 was obtained for sample percent depth dose distributions, and an average γ -index passing rate of 0.20 was observed for sample dose profiles. Conclusion Natural cubic spline has been established to calculate dose maps from field characteristics. The feasibility and possibility of natural cubic spline to calculate dose maps for linac radiation therapy fields in a homogeneous phantom has been demonstrated.

Item Type: Article
Subjects: WN Radiology . Diagnostic Imaging
Divisions: Journals > Iranian J Medical Physics
Depositing User: ijmp ijmp
Date Deposited: 26 Sep 2017 18:15
Last Modified: 26 Sep 2017 18:15

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