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Technical Note: Improving VMAT delivery efficiency by optimizing the dynamic collimator trajectory.
Bokrantz, Rasmus; van Amerongen, Jacobus H M; Craft, David.
Afiliação
  • Bokrantz R; RaySearch Laboratories, Stockholm, SE 111 34, Sweden.
  • van Amerongen JHM; Department of Econometrics and Operations Research/Center for Economic Research (CentER), Tilburg University, Tilburg, LE 5000, The Netherlands.
  • Craft D; Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Med Phys ; 46(9): 3877-3882, 2019 Sep.
Article em En | MEDLINE | ID: mdl-31220355
PURPOSE: To provide a method for optimizing the multileaf collimator angle trajectory in volumetric modulated arc therapy (VMAT) in order to make VMAT delivery and planning more efficient. METHODS: Static fluence maps are optimized at a 10-degree spacing around the patient. Sliding window delivery time of each of these fields is computed for a large set of possible collimator orientations. An optimal trajectory, which selects a collimator angle for each field and assures that the collimator angles do not differ excessively between adjacent fields, is computed by solving a network flow model of a shortest path problem. RESULTS: For four clinical cases (two brains, an anal, and a spine), we demonstrate time reductions from 6% to 32% (average: 24%) for the optimal static angle vs the worst static angle. Further reductions from 3% to 17% (average 9%) are achievable when dynamic collimator trajectories are allowed. CONCLUSIONS: Dynamic collimator trajectories, which can be computed with an efficient linear programming formulation, can improve the efficiency of VMAT delivery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada Idioma: En Ano de publicação: 2019 Tipo de documento: Article