Real-time auto-adaptive margin generation for MLC-tracked radiotherapy

Publication date

2017-01-07

Authors

Glitzner, M
Fast, Martin FORCID 0000-0001-9107-4627
de Senneville, B. Denis
Nill, S
Oelfke, U
Lagendijk, J J WISNI 0000000393637862
Raaymakers, Bas WORCID 0000-0002-8036-6808ISNI 0000000392005337
Crijns, S P MISNI 0000000396863953

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Abstract

In radiotherapy, abdominal and thoracic sites are candidates for performing motion tracking. With real-time control it is possible to adjust the multileaf collimator (MLC) position to the target position. However, positions are not perfectly matched and position errors arise from system delays and complicated response of the electromechanic MLC system. Although, it is possible to compensate parts of these errors by using predictors, residual errors remain and need to be compensated to retain target coverage. This work presents a method to statistically describe tracking errors and to automatically derive a patient-specific, per-segment margin to compensate the arising underdosage on-line, i.e. during plan delivery. The statistics of the geometric error between intended and actual machine position are derived using kernel density estimators. Subsequently a margin is calculated on-line according to a selected coverage parameter, which determines the amount of accepted underdosage. The margin is then applied onto the actual segment to accommodate the positioning errors in the enlarged segment. The proof-of-concept was tested in an on-line tracking experiment and showed the ability to recover underdosages for two test cases, increasing V 90% in the underdosed area about 47% and 41%, respectively. The used dose model was able to predict the loss of dose due to tracking errors and could be used to infer the necessary margins. The implementation had a running time of 23 ms which is compatible with real-time requirements of MLC tracking systems. The auto-adaptivity to machine and patient characteristics makes the technique a generic yet intuitive candidate to avoid underdosages due to MLC tracking errors.

Keywords

MLC, error, margins, real-time, statistics, tracking, Radiological and Ultrasound Technology, Radiology Nuclear Medicine and imaging

Citation

Glitzner, M, Fast, M F, de Senneville, B D, Nill, S, Oelfke, U, Lagendijk, J J W, Raaymakers, B W & Crijns, S P M 2017, 'Real-time auto-adaptive margin generation for MLC-tracked radiotherapy', Physics in Medicine and Biology, vol. 62, no. 1, pp. 186-201. https://doi.org/10.1088/1361-6560/62/1/186