Spatial frequency performance limitations of radiation dose optimization and beam positioning.

Phys Med Biol

Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada. Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Published: June 2018

AI Article Synopsis

  • Modern radiotherapy has advanced with sophisticated treatment planning and delivery methods to improve the therapeutic ratio by accurately targeting tumors while protecting surrounding tissue.
  • The research formalizes the concept of 'dose delivery resolution,' showing that the effectiveness of dose delivery is limited by the characteristics of the dose kernel and affects the success of optimization strategies.
  • An analytic method is developed to estimate the resulting dose distribution, demonstrating the effectiveness of this framework through experiments on an image-guided small animal microirradiator for hypoxia-guided doses.

Article Abstract

The flexibility and sophistication of modern radiotherapy treatment planning and delivery methods have advanced techniques to improve the therapeutic ratio. Contemporary dose optimization and calculation algorithms facilitate radiotherapy plans which closely conform the three-dimensional dose distribution to the target, with beam shaping devices and image guided field targeting ensuring the fidelity and accuracy of treatment delivery. Ultimately, dose distribution conformity is limited by the maximum deliverable dose gradient; shallow dose gradients challenge techniques to deliver a tumoricidal radiation dose while minimizing dose to surrounding tissue. In this work, this 'dose delivery resolution' observation is rigorously formalized for a general dose delivery model based on the superposition of dose kernel primitives. It is proven that the spatial resolution of a delivered dose is bounded by the spatial frequency content of the underlying dose kernel, which in turn defines a lower bound in the minimization of a dose optimization objective function. In addition, it is shown that this optimization is penalized by a dose deposition strategy which enforces a constant relative phase (or constant spacing) between individual radiation beams. These results are further refined to provide a direct, analytic method to estimate the dose distribution arising from the minimization of such an optimization function. The efficacy of the overall framework is demonstrated on an image guided small animal microirradiator for a set of two-dimensional hypoxia guided dose prescriptions.

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Source
http://dx.doi.org/10.1088/1361-6560/aac501DOI Listing

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