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Trajectory optimization in radiotherapy using sectioning (TORUS).

Christopher Barry Locke1, Karl Kenneth Bush1

  • 1Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305-5847, USA.

Medical Physics
|April 12, 2017
PubMed
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The TORUS algorithm optimizes radiation delivery trajectories, improving treatment time and quality over standard methods. This novel approach enhances dynamic radiotherapy capabilities for better patient outcomes.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Synchronizing dynamic delivery in radiotherapy is challenging.
  • Progressive Resolution Optimization (VMAT) can cause Multi-Leaf Collimator (MLC) contention issues.
  • Optimizing continuous radiation trajectories requires novel approaches.

Purpose of the Study:

  • To present an approach for optimizing continuous, beam-on radiation trajectories.
  • To address MLC aperture contention issues in radiotherapy.
  • To explore anatomical topology for novel dual-metric graph optimization.

Main Methods:

  • Introduced the TORUS (trajectory optimization using sectioning) algorithm.
  • Mapped target region connectedness from the BEV perspective.
Keywords:
IMRTVMAToptimizationradiation therapytrajectorytreatment planning

Related Experiment Videos

  • Incorporated connectedness into a graph optimization problem with dual distance functions.
  • Utilized a commercial Treatment Planning System (TPS) for 3D dose optimization.

    • Main Results:

    • TORUS trajectories outperformed 7-field IMRT and 2-arc VMAT in delivery time, OAR sparing, conformality, and homogeneity for chest wall and scalp cases.
    • For the TG-119 phantom, TORUS demonstrated superior sparing of the central core with shorter delivery times.
    • Achieved similar dose conformality and homogeneity compared to standard methods.

    Conclusions:

    • The TORUS algorithm automatically generates trajectories with improved plan quality and delivery time.
    • TORUS enhances dynamic capabilities in radiation delivery.
    • Offers a promising advancement for radiotherapy optimization.