2015
DOI: 10.1118/1.4906253
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Simultaneous beam sampling and aperture shape optimization for SPORT

Abstract: Purpose: Station parameter optimized radiation therapy (SPORT) was recently proposed to fully utilize the technical capability of emerging digital linear accelerators, in which the station parameters of a delivery system, such as aperture shape and weight, couch position/angle, gantry/collimator angle, can be optimized simultaneously. SPORT promises to deliver remarkable radiation dose distributions in an efficient manner, yet there exists no optimization algorithm for its implementation. The purpose of this w… Show more

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Cited by 15 publications
(11 citation statements)
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“…Furthermore, we may wish to explore scenarios that do not necessarily acquire images at a fixed interval, but rather at control points where the motion sensitivities are peak and monitoring is the most relevant. Since imaging strategy and plan optimization mutually affects each other, a more powerful optimization framework that truly combines imaging and delivery such as station parameter optimized radiation therapy (SPORT) 20,21 is the ultimate answer, and the goal of our future development.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, we may wish to explore scenarios that do not necessarily acquire images at a fixed interval, but rather at control points where the motion sensitivities are peak and monitoring is the most relevant. Since imaging strategy and plan optimization mutually affects each other, a more powerful optimization framework that truly combines imaging and delivery such as station parameter optimized radiation therapy (SPORT) 20,21 is the ultimate answer, and the goal of our future development.…”
Section: Discussionmentioning
confidence: 99%
“…In this study, we divide the DVH curve of each structure into segments and the j‐th dosimetric characteristic variable of structure italicσ is simply the j‐th DVH segment of the structure. Note that the prior knowledge or the library of reference plans sets our preferred variation range of the dosmetric quantity Citalicσj, which is similar to the use of prior data to set expectations for the planning process in previous studies . Also note that the first constraint in (1) requires that plan x∗ should be the output of the optimization problem in the TPS, which serves as a lower level minimization problem embedded within the bi‐level model framework.…”
Section: Methodsmentioning
confidence: 99%
“…The parameters are then used as input of subsequent inverse planning. The method has recently been applied to predict the weighting factors and the prescription DVHs needed for driving an inverse planning calculation. We emphasize that all these approaches only use prior knowledge‐derived parameters (i.e., either weighting or prescription or both) to “warm start” the inverse planning, instead of using them to guide the plan search throughout the optimization process.…”
Section: Introductionmentioning
confidence: 99%
“…The iterative interactions of the decision function and TPS pilots the search toward a clinically sensible solution. From the perspective of optimization, the strategy here is similar to a sequential optimization of an overall objective, 14 , 15 but the objective functions for the two stages (i.e., the TPS optimization and the outer‐loop determination of the TPS parameters) are different. This process is along the line of our earlier work in automated weighting factors and model parameters determination 6 , 16 , 17 .…”
Section: Methodsmentioning
confidence: 99%