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An open-source tool to visualize potential cone collisions while planning SRS cases.

Anna Laura Licon1, Ara Alexandrian1, Daniel Saenz1

  • 1Department of Radiation Oncology, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.

Journal of Applied Clinical Medical Physics
|August 12, 2020
PubMed
Summary

This study developed an open-source visualization program to prevent cone collisions during intracranial stereotactic radiosurgery planning. The software helps identify potential collisions, saving time by avoiding replanning during treatment.

Keywords:
codecone collisionopen sourcestereotactic radiosurgery

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Area of Science:

  • Medical Physics
  • Radiotherapy Planning
  • Medical Imaging Visualization

Background:

  • Intracranial stereotactic radiosurgery (SRS) requires precise planning to avoid equipment collisions.
  • Current planning methods may not always adequately predict potential collisions between treatment machinery and patient setup.
  • Efficient collision detection is crucial for optimizing SRS treatment delivery and patient safety.

Purpose of the Study:

  • To develop an open-source, 3D visualization program for identifying potential cone collisions during SRS treatment planning.
  • To create a user-friendly graphical interface (GUI) for inputting treatment parameters and visualizing potential conflicts.

Main Methods:

  • A MATLAB-based script was developed to create 3D visualizations of treatment room components (gantry, cone, couch, localization frame).
  • Geometric approximations (cylinders, boxes, ellipsoids) were used to represent components and a patient safety zone.
  • A GUI was implemented to allow users to input isocenter location, gantry/couch angles, and visualize beam paths.

Main Results:

  • The GUI successfully provides a rapid method for detecting potential collisions before treatment plan finalization.
  • End-to-end validation using twenty patient arcs showed high agreement between software predictions and physical room setups.
  • Minor discrepancies were observed due to simplified geometric representations of the treatment couch.

Conclusions:

  • The developed GUI is effective for optimizing beam orientation in SRS planning.
  • Proactive collision detection using this tool can significantly reduce replanning time and improve workflow efficiency.
  • This open-source program offers a valuable resource for improving SRS treatment planning safety and efficiency.