Automated 4π radiotherapy treatment planning with evolving knowledge-base.

Journal: Medical physics
Published Date: Jul 26, 2019

Abstract

PURPOSE: Non-coplanar 4π radiotherapy generalizes intensity modulated radiation therapy (IMRT) to automate beam geometry selection but requires complicated hyperparameter tuning to attain superior plan quality, which can be tedious and inconsistent. In this study, a fully automated 4π treatment planning was developed using evolving knowledge-base (EKB) planning guided by dose prediction.

Authors

  • Angelia Landers
    Department of Radiation Oncology, University of California, Los Angeles, CA, 90095, USA.
  • Daniel O'Connor
    Department of Radiation Oncology, University of California, Los Angeles, CA, 90095, USA.
  • Dan Ruan
    Departments of Radiation Oncology, Biomedical Physics and Bioengineering, UCLA, Los Angeles, CA, 90095, USA.
  • Ke Sheng
    Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA, 90095, USA.

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