Monte Carlo for Photon Treatment Planning; CV/SP and Other Modern Algorithms; Monte Carlo for Electron Planning
I Chetty1*, M Miften2*, J Cygler3*, (1) Henry Ford Health System, Detroit, MI, (2) University of Colorado School of Medicine, Aurora, CO, (3) The Ottawa Hospital Regional Cancer Ctr., Ottawa, ONSA-B-Salon AB-1 Saturday 10:00:00 AM - 12:00:00 PM Room: Salon AB
Treatment planning systems are indispensable for the Radiation Therapy treatment process. Despite the various versions implemented within different commercial systems, dose calculation algorithms generally share the same fundamental physics and can be separated into several categories. This session will review modern treatment planning algorithms including convolution/superposition, and Monte Carlo. For each algorithm, we will go through the physics behind the dose calculations and discuss the clinical implementation considerations. We will review their limitations and accuracies. We will discuss commissioning requirements for these algorithms and provide clinical examples with treatment plans.
The learning objectives of this session include:
1. Understand Convolution/Superposition and other physics-based algorithms for photon treatment planning.
2. Understand Monte Carlo dose calculation for photon treatment planning.
3. Understand Monte Carlo dose calculation for electron beams.
4. Know the commissioning requirements for the above algorithms.
5. Recognize their limitations and clinical applications
6. Acknowledge the advantages and disadvantages for each algorithm.