ADVANCED RADIATION TREATMENT PLANNING
Physics of clinical, computer-based radiotherapy planning is taught. Topics include dose algorithms, measurement data, commissioning, contouring and volume definition, beam placement, modifiers and apertures and plan evaluation. Forward based and inverse planning (including IMRT optimization) are taught.
Topics
- dose algorithms
- measurement data
- commissioning
- contouring and volume definition
- beam placement
- modifiers and apertures and plan evaluation
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: MED PHYS/B M E 566 and graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Design simple and intermediate forward-based photon and electron external beam plans using beam arrangements/energy, wedges and blocks intelligently with regards to underlying physics Audience: Graduate 2. Create target and region at risk planning volumes, setup objectives for, and optimize, inverse planned intensity modulated plans. Audience: Graduate 3. Evaluate dose distributions using a variety of metrics. Audience: Graduate 4. Understand beam model commissioning process and limitations including data requirements and processing. Audience: Graduate 5. Understand dose algorithms used in radiation therapy (including but not limited to: convolution superposition, Monte Carlo, pencil beam.) Audience: Graduate Learning Outcomes: 1. Design simple and intermediate forward-based photon and electron external beam plans using beam arrangements/energy, wedges and blocks intelligently with regards to underlying physics Audience: Graduate 2. Create target and region at risk planning volumes, setup objectives for, and optimize, inverse planned intensity modulated plans. Audience: Graduate 3. Evaluate dose distributions using a variety of metrics. Audience: Graduate 4. Understand beam model commissioning process and limitations including data requirements and processing. Audience: Graduate 5. Understand dose algorithms used in radiation therapy (including but not limited to: convolution superposition, Monte Carlo, pencil beam.) Audience: Graduate
Sources
- Course catalogue ↗2026-2027