Description

This course will cover concepts and applications in “modern” radiation therapy physics. It will start with an introduction to model based planning with CT and followed with rigorous treatment of convolution based-algorithms, Monte Carlo, and deterministic algorithms. This will include further discussion of heterogeneity corrections and limitations in commercially implemented algorithms utilized in treatment planning systems. This will be followed by discussion on modern radiation therapy planning and delivery approaches including IMRT, VMAT, stereotactic, and image-guided RT principles. Proton radiation therapy will be covered in detail. The final section of the class will cover advanced RT topics including MR in RT, patient specific QA, artificial intelligence/automation applications, biological based treatment planning, and FLASH. Auditing this course is permitted with instructor's consent.