title: Comparison of parametrization methods of the collimator scatter correction factor for open rectangular fields of 6-25 MV photon beams.
abstract: OBJECTIVE
  To facilitate the use of the collimator scatter correction factor, Sc, parametrization methods that relate Sc to the field size by fitting were investigated.
  
  
  METHODS
  Sc was measured with a mini-phantom for five types of dual photon energy accelerators with energies varying between 6 and 25 MV. Using these Sc-data six methods of parametrizing Sc for square fields were compared, including a third-order polynomial of the natural logarithm of the field size normalized to the field size of 10 cm2. Also five methods of determining Sc for rectangular fields were considered, including one which determines the equivalent field size by extending Sterling's method.
  
  
  RESULTS
  The deviations between measured and calculated Sc-values were determined for all photon beams and methods investigated in this study. The resulting deviations of the most accurate method varied between 0.07 and 0.42% for square fields and between 0.26 and 0.79% for rectangular fields. A recommendation is given as to how to limit the number of fields for which Sc should be measured in order to be able to accurately predict it for an arbitrary field size.
authors.affiliation: Department of Radiotherapy, Medisch Spectrum Twente, Enschede, The Netherlands.
authors.forename: H N
authors.initials: HN
authors.lastname: Jager
authors.forename: S
authors.initials: S
authors.lastname: Heukelom
authors.forename: H J
authors.initials: HJ
authors.lastname: van Kleffens
authors.forename: H
authors.initials: H
authors.lastname: van Gasteren
authors.forename: R
authors.initials: R
authors.lastname: van der Laarse
authors.forename: J L
authors.initials: JL
authors.lastname: Venselaar
authors.forename: C F
authors.initials: CF
authors.lastname: Westermann
mesh_terms: D008432:Mathematical Computing; D010315:Particle Accelerators; D017785:Photons; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted