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Real-time inverse planning for Gamma Knife radiosurgery
Q Jackie Wu1, Vira Chankong, Suradet Jitprapaikulsarn
1Department of Radiation Oncology, University Hospitals of Cleveland, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, USA. qjw@cwru.edu
Medical Physics
|December 6, 2003
Summary
Real-time Gamma Knife inverse planning is now feasible using a novel skeletonization-based approach. This method optimizes shot placement and beam weights, achieving high target coverage and conformity in under two minutes.
Area of Science:
- Medical Physics
- Radiation Oncology
- Computational Biology
Background:
- Real-time Gamma Knife inverse planning faces challenges due to numerous variables and an undefined search space.
- Limited collimator sizes necessitate significant shot overlap for conformal dose distribution, complicating pre-determination of the total number of shots.
Purpose of the Study:
- To develop and clinically implement a real-time inverse planning process for Gamma Knife radiosurgery.
- To optimize shot placement, size, and beam weights for improved dose conformity and reduced planning time.
Main Methods:
- A two-step approach based on skeletonization theory: 1. Determining optimal shot number, locations, sizes, and initial collimator assignments. 2. Fine-tuning weights using linear programming to minimize dose to the target boundary.
- The objective function maximizes dose conformity to irregular target shapes.
Main Results:
- Target coverage achieved was over 99% for manual plans and 97% for inverse plans.
- RTOG PITV conformity indices were 1.16-3.46 for manual plans versus 1.36-2.4 for inverse plans.
- All inverse plans were generated in under 2 minutes, demonstrating real-time capability.
Conclusions:
- The developed inverse planning method enables real-time Gamma Knife treatment planning.
- The approach achieves comparable or superior dose conformity to manual planning while significantly reducing planning time.
- This facilitates efficient and accurate radiosurgical treatment delivery.