title: Evaluation of optimized compensators on a 3D planning system.
abstract: A commercially available treatment planning system contains several functions that allow for the automation of missing tissue and optimized compensators, where the former retracts the bolus toward the source, and the latter attempts, by iteration, to establish a uniform dose at some user defined depth. The intent of this paper is to report on the compensators designed by the system and to compare them to those devised through conventional techniques. It is demonstrated that the system can model the dosimetric effects of compensators with a high degree of accuracy; measured and predicted doses agree to within 3%. Optimized compensators show slightly improved dose uniformity over thickness reduced compensators. Both show significantly improved uniformity over compensators that simply retract the bolus geometry. In cases where internal inhomogeneities exist, however, the dose uniformity from the optimized compensators vary by as much as 6% at the target depth. These deviations are comparable to the errors of the inhomogeneity algorithm itself. The pathlength reduction technique has been applied to both missing tissue and inhomogeneity compensation, and it has been found that for inhomogeneity compensation, the pathlength reduced compensators produce more uniform distributions than those generated by the optimization algorithm.
authors.affiliation: Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, Canada. basran@med.phys.ualberta.ca
authors.forename: P S
authors.initials: PS
authors.lastname: Basran
authors.forename: W
authors.initials: W
authors.lastname: Ansbacher
authors.forename: G C
authors.initials: GC
authors.lastname: Field
authors.forename: B R
authors.initials: BR
authors.lastname: Murray
mesh_terms: D000465:Algorithms; D055592:Biophysical Phenomena; D001703:Biophysics; D005069:Evaluation Studies as Topic; D006801:Humans; D008962:Models, Theoretical; D009369:Neoplasms / Q000532:radiotherapy; D019047:Phantoms, Imaging; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D011882:Radiotherapy, High-Energy / Q000379:methods / Q000706:statistics & numerical data