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Dosimetric verification of the anisotropic analytical algorithm for radiotherapy treatment planning

Bragg, C. and Conway, J. (2006) Dosimetric verification of the anisotropic analytical algorithm for radiotherapy treatment planning. Radiotherapy and Oncology, 81 (3). pp. 315-323. ISSN 0167-8140


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To investigate the accuracy of photon dose calculations performed by the Anisotropic Analytical Algorithm, in homogeneous and inhomogeneous media and in simulated treatment plans.


Predicted dose distributions were compared with ionisation chamber and film measurements for a series of increasingly complex situations. Initially, simple and complex fields in a homogeneous medium were studied. The effect of inhomogeneities was investigated using a range of phantoms constructed of water, bone and lung substitute materials. Simulated treatment plans were then produced using a semi-anthropomorphic phantom and the delivered doses compared to the doses predicted by the Anisotropic Analytical Algorithm.


In a homogeneous medium, agreement was found to be within 2% dose or 2mm dta in most instances. In the presence of heterogeneities, agreement was generally to within 2.5%. The simulated treatment plan measurements agreed to within 2.5% or 2mm. Conclusions: The accuracy of the algorithm was found to be satisfactory at 6MV and 10MV both in homogeneous and inhomogeneous situations and in the simulated treatment plans. The algorithm was more accurate than the Pencil Beam Convolution model, particularly in the presence of low density heterogeneities.

Item Type: Article
Copyright, Publisher and Additional Information: © 2006 Elsevier Ireland Ltd. This is an author produced version of a paper published in Radiotherapy and Oncology. Uploaded in accordance with the publisher's self-archiving policy.
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield) > Clinical Sciences Division South (Sheffield) > Department of Medical Physics and Clinical Engineering (Sheffield)
Depositing User: Sherpa Assistant
Date Deposited: 27 Mar 2008 09:54
Last Modified: 08 Feb 2013 16:55
Published Version: http://dx.doi.org/10.1016/j.radonc.2006.10.020
Status: Published
Publisher: Elsevier Ireland Ltd.
Refereed: Yes
Identification Number: 10.1016/j.radonc.2006.10.020
URI: http://eprints.whiterose.ac.uk/id/eprint/3703

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