Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/127159
Type: Thesis
Title: Investigation of Acuros XB radiotherapy dose calculation algorithm
Author: McGrath, Andrew
Issue Date: 2018
School/Discipline: School of Physical Sciences
Abstract: An important part of the radiotherapy process is the calculation of radiation dose deposition for individual patients. Accurate dose calculation provides a foundation for accurate dose prescription and reporting in radiation therapy. Several classes of radiation dose calculation algorithms exist. Some commonly used superposition-convolution algorithms are Collapsed Cone Convolution (CCC) (Philips Radiation Oncology Systems, Fitchburg, WI ) and Anisotropic Analytical Algorithm (AAA) (Varian Medical Systems, Palo Alto, CA, USA). Recently, Varian has introduced a new algorithm, Acuros XB, which solves the Linear Boltzmann Transport Equation (LBTE). This study assesses the accuracy of dose calculations performed with Acuros. In this study, a Monte Carlo model was created using the EGSnrc family of Monte Carlo code, in order to run Monte Carlo simulations. A Monte Carlo simulation involves simulating particle transport directly and is considered to be the gold standard in radiotherapy dose calculations. The Monte Carlo model is used to assess the accuracy of Acuros XB. In simple slab geometry, Acuros XB outperforms AAA when compared to Monte Carlo calculations and to measurements. Acuros XB and AAA show a dfference of -0.06 (+-) 0.13% and +0.6 (+-) 0.18% respectively, compared to measured doses distal to lung slabs of various thicknesses. Tests described in TecDoc 1583 [Vatnitsky and International Atomic Energy Agency, 2008] were used to validate Acuros and AAA calculations on a simple anthropomorphic phantom. Averaged over all TecDoc 1583 test cases and measurement points, AAA calculated dose 0.4 0.4% higher than measured, while Acuros calculated dose 0.2 (+-) 0.2% lower than measured. Calculations were made with Acuros, AAA and CCC for plans with small fields on Computed Tomography (CT) image sets of SBRT patients. The calculations were compared with Monte Carlo calculated dose. Acuros showed marginally better agreement with Monte Carlo than the other algorithms, for the patient plans and datasets used in this study. For a slice through the target volume of each plan, Acuros, AAA and CCC had a 98.0%, 97.8% and 96.7% gamma metric pass rate compared to Monte Carlo calculated dose, using the 2%, 2 mm gamma criteria.
Advisor: Pollard, Judith
Penfold, Scott
Wallace, Steven
Dissertation Note: Thesis (MPhil) -- University of Adelaide, School of Physical Sciences, 2018
Keywords: Radiotherapy
dose
acuros
AAA
Monte Carlo
CCC
Provenance: This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals
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