Instructors: C. Drapaca, J. Trzasko, C. Studholme, H. Zhu, Y. Zinchenko

Schedule of the course:
Lectures time:
11:00 am to 1:30 pm, with 30 min for lunch from 12:00 pm to 12:30pm.
All lectures will be held at the Fields Institute.

Description of the course:
Tumors, and in particular cancer, can be difficult to detect, diagnose and treat. Digital imaging techniques, computer aided diagnosis, image-guided surgery and drug treatment can improve the accuracy and efficiency of tumors detection, diagnosis and treatment. Therefore computer assisted techniques have become a valuable component in today's clinical research and practices. This graduate course on image processing and treatment planning is a collection of feature lecture series, focusing on IMRT inverse treatment planning, CT, MR image reconstruction and various means of analyzing and processing images including image co-registration, level sets, and time-frequency analysis, etc.

The course will cover the following topics:
1. Convex and robust optimization techniques for radiotherapy treatment planning.
2. Time-frequency analysis and level set methods for imaging sciences.
3. Imaging physics, contemporary methods for fast imaging, image registration and brain image analysis.
In addition, Dr. Zinchenko's seminar on August 22 th will be a MATLAB tutorial on optimization software, (in particular, SeDuMi via MATLAB).

*This course is not for credit.