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An independent dose calculation algorithm for MLC‐based stereotactic radiotherapy
Author(s) -
Lorenz Friedlieb,
Killoran Joseph H.,
Wenz Frederik,
Zygmanski Piotr
Publication year - 2007
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.2717385
Subject(s) - stereotactic radiotherapy , radiation therapy , algorithm , nuclear medicine , dosimetry , medical physics , medical imaging , radiosurgery , computer science , medicine , radiology , artificial intelligence
We have developed an algorithm to calculate dose in a homogeneous phantom for radiotherapy fields defined by multi‐leaf collimator (MLC) for both static and dynamic MLC delivery. The algorithm was developed to supplement the dose algorithms of the commercial treatment planning systems (TPS). The motivation for this work is to provide an independent dose calculation primarily for quality assurance (QA) and secondarily for the development of static MLC field based inverse planning. The dose calculation utilizes a pencil‐beam kernel. However, an explicit analytical integration results in a closed form for rectangular‐shaped beamlets, defined by single leaf pairs. This approach reduces spatial integration to summation, and leads to a simple method of determination of model parameters. The total dose for any static or dynamic MLC field is obtained by summing over all individual rectangles from each segment which offers faster speed to calculate two‐dimensional dose distributions at any depth in the phantom. Standard beam data used in the commissioning of the TPS was used as input data for the algorithm. The calculated results were compared with the TPS and measurements for static and dynamic MLC. The agreement was very good ( < 2.5 % ) for all tested cases except for very small static MLC sizes of 0.6 cm × 0.6 cm( < 6 % ) and some ion chamber measurements in a high gradient region ( < 4.4 % ) . This finding enables us to use the algorithm for routine QA as well as for research developments.