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Optimized beam planning for linear accelerator-based stereotactic radiosurgery

H M Lu1, H M Kooy, Z H Leber

  • 1Joint Center for Radiation Therapy, Harvard Medical School, Boston, MA 02115, USA.

International Journal of Radiation Oncology, Biology, Physics
|December 10, 1997
PubMed
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This study introduces an automated beam arc selection tool for stereotactic radiosurgery and radiotherapy. The new method significantly reduces planning time and improves clinical outcomes by optimizing beam arrangements for better target coverage and organ sparing.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Manual treatment planning for stereotactic radiosurgery (SRS) and stereotactic radiotherapy (SRT) is time-consuming and iterative.
  • Planners manually select beam arcs, balancing target coverage with critical organ dose sparing.

Purpose of the Study:

  • To develop an automated procedure for selecting beam arcs in SRS and SRT.
  • To optimize beam arc selection using geometric and dosimetric analysis.

Main Methods:

  • Introduced a Beam's Eye View (BEV) map and phase space concept for treatment plan representation.
  • Reduced phase space by excluding suboptimal beam ports based on geometric and dosimetric criteria.
  • Applied simulated annealing to the reduced phase space for optimal beam arc selection.

Related Experiment Videos

  • Validated the method on a radiosurgery case and 10 additional cases.

    • Main Results:

    • Developed a highly automated beam arc planning tool for SRS and SRT.
    • Demonstrated substantial dose reduction to the postrema in a presented case.
    • Tissue-volume ratio calculations indicated clinically superior plans compared to manual planning.

    Conclusions:

    • Phase space reduction effectively simplifies complex treatment planning optimization.
    • The method significantly reduces computational complexity, leading to faster and more efficient planning.
    • Enhanced user interaction ensures effective and controlled optimization of beam selection.