Feasibility of four-dimensional conformal planning for robotic radiosurgery.
Organ motion can have a severe impact on the dose delivered by radiation therapy, and different procedures have been developed to address its effects. Conventional techniques include breath hold methods and gating. A different approach is the compensation for target motion by moving the treatment beams synchronously. Practical results have been reported for robot based radiosurgery, where a linear accelerator mounted on a robotic arm delivers the dose. However, not all organs move in the same way, which results in a relative motion of the beams with respect to the body and the tissues in the proximity of the tumor. This relative motion can severely effect the dose delivered to critical structures. We propose a method to incorporate motion in the treatment planning for robotic radiosurgery to avoid potential overdosing of organs surrounding the target. The method takes into account the motion of all considered volumes, which is discretized for dose calculations. Similarly, the beam motion is taken into account and the aggregated dose coefficient over all discrete steps is used for planning. We simulated the treatment of a moving target with three different planning methods. First, we computed beam weights based on a 3D planning situation and simulated treatment with organ motion and the beams moving synchronously to the target. Second, beam weights were computed by the 4D planning method incorporating the organ and beam motion and treatment was simulated for beams moving synchronously to the target. Third, the beam weights were determined by the 4D planning method with the beams fixed during planning and simulation. For comparison we also give results for the 3D treatment plan if there was no organ motion and when the plan is delivered by fixed beams in the presence of organ motion. The results indicate that the new 4D method is preferable and can further improve the overall conformality of motion compensated robotic radiosurgery.
Institute for Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany. schlaefer@rob.uni-luebeck.de
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Schlaefer
J
J
Fisseler
S
S
Dieterich
H
H
Shiomi
K
K
Cleary
A
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Schweikard
D055592:Biophysical Phenomena; D001703:Biophysics; D006801:Humans; D009068:Movement; D009369:Neoplasms / Q000601:surgery; D016634:Radiosurgery / Q000379:methods* / Q000706:statistics & numerical data*; D011880:Radiotherapy Planning, Computer-Assisted / Q000706:statistics & numerical data; D020266:Radiotherapy, Conformal / Q000706:statistics & numerical data; D012119:Respiration; D012371:Robotics