A method for optimizing LINAC treatment geometry for volumetric modulated arc therapy of multiple brain metastases

Jun Kang, Eric C. Ford, Koren Smith, John Wong, Todd R. McNutt

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Purpose: Volumetric modulated arc therapy (VMAT) is a rotational delivery technique in which MLC shapes, dose rate, and gantry rotation speed are optimized to produce conformal dose distributions. The aim of this work is to develop a beam projection method for deriving the optimal table and collimator angles for multilesion treatment planning. Methods: The method consists of four steps. The first step is to define the vector of beam-eye-view (BEV)- Y -axis in the treatment planning CT coordinates. The second step is to project each target onto the BEV- Y -axis vector. In the third step, the best table and collimator angle are found with a brute-force optimization technique that minimizes MLC leaf sharing between lesions. The fourth step is to generate an optimized VMAT plan with appropriate table/collimator angles and evaluate the plan quality. Results: The authors tested the method on three example cases with targets of various locations in the brain and sizes ranging from 1.18 to 17.86 cm3. Applying the optimized geometric parameter to generate VMAT plan, a reduction of the 12 Gy volume was more than 6.1% for all cases; the plan homogeneity (D2% - D95%) was improved from 5.88±1.21 to 5.21±0.93 Gy vs a VMAT plan with the manufacturer recommended table and collimator angles. Conclusions: The authors conclude that the use of the projection method minimizes the sharing of MLC leaves between lesions and improves the plan quality for multilesion VMAT delivery.

Original languageEnglish (US)
Pages (from-to)4146-4154
Number of pages9
JournalMedical physics
Volume37
Issue number8
DOIs
StatePublished - Aug 2010

Keywords

  • VMAT
  • arc
  • projection method
  • rotation therapy

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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