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Optimization of multiple-isocenter treatment planning for linac-based stereotactic radiosurgery
R Liao1, J A Williams, L Myers
1Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21287, USA.
Summary
The Ellipsoidal Dose Distribution Estimation (EDDE) model significantly improves multiple-isocenter radiosurgery planning by optimizing dose distribution and reducing planning time. This advanced model enhances treatment precision for linac-based systems.
Area of Science:
- Medical Physics
- Radiation Oncology
- Computational Biology
Background:
- Computer-assisted treatment planning for linac-based radiosurgery, particularly for multiple-isocenter procedures, remains a complex challenge.
- High complexity and computational demands hinder efficient optimization of dose conformality, homogeneity, and isocenter placement.
Purpose of the Study:
- To optimize multiple-isocenter treatment planning for linac systems.
- To address critical issues in radiosurgery planning, including dose conformality, homogeneity, and isocenter optimization.
Main Methods:
- Developed the Ellipsoidal Dose Distribution Estimation (EDDE) model, an analytical approach representing dose components.
- Utilized arc configurations to achieve ellipsoidal doses of arbitrary position, orientation, and size.
- Integrated the EDDE model into an optimization framework for efficient isocenter placement and dose distribution planning.
Main Results:
- Summarized the general ellipsoidal dose distribution of linac-based radiosurgery into a mathematical model.
- Demonstrated superior performance of EDDE-optimized plans compared to clinically implemented plans.
- Achieved a dramatic reduction in treatment planning time using the EDDE model.
Conclusions:
- The proposed EDDE model is a valuable and effective tool for multiple-isocenter treatment planning in linac-based radiosurgery.
- The EDDE model offers enhanced efficiency and precision in optimizing complex radiosurgery plans.