title: Clinical treatment planning optimization by Powell's method for gamma unit treatment system.
abstract: OBJECTIVE
  This article presents a new optimization method for stereotactic radiosurgery treatment planning for gamma unit treatment system.
  
  
  METHODS
  The gamma unit has been utilized in stereotactic radiosurgery for about 30 years, but the usual procedure for a physician-physicist team to design a treatment plan is a trial-and-error approach. Isodose curves are viewed on two-dimensional computed tomography (CT) or magnetic resonance (MR) image planes, which is not only time consuming but also seldom achieves the optimal treatment plan, especially when the isocenter weights are regarded. We developed a treatment-planning system on a computer workstation in which Powell's optimization method is realized. The optimization process starts with the initial parameters (the number of isocenters as well as corresponding 3D isocenters' coordinates, collimator sizes, and weight factors) roughly determined by the physician-physicist team. The objective function can be changed to consider protection of sensitive tissues.
  
  
  RESULTS
  We use the plan parameters given by a well-trained physician-physicist team, or ones that the author give roughly as the initial parameters for the optimization procedure. Dosimetric results of optimization show a better high dose-volume conformation to the target volume compared to the doctor's plan.
  
  
  CONCLUSIONS
  This method converges quickly and is not sensitive to the initial parameters. It achieves an excellent conformation of the estimated isodose curves with the contours of the target volume. If the initial parameters are varied, there will be a little difference in parameters' configuration, but the dosimetric results proved almost to be the same.
authors.affiliation: Department of Biomedical Engineering, Southeast University, Nanjing, China.
authors.forename: Y
authors.initials: Y
authors.lastname: Yan
authors.forename: H
authors.initials: H
authors.lastname: Shu
authors.forename: X
authors.initials: X
authors.lastname: Bao
authors.forename: L
authors.initials: L
authors.lastname: Luo
authors.forename: Y
authors.initials: Y
authors.lastname: Bai
mesh_terms: D000465:Algorithms; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017253:Neurofibromatoses / Q000532:radiotherapy; D016634:Radiosurgery / Q000379:methods*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*