304: Advanced topics in Medical Imaging
Advanced topics in Medical Imaging
Assoc. Prof. Eleni Costaridou
The course deals with three-dimensional 3d imaging methods, with emphasis on
image reconstruction algorithms, as well as computational methods for image
quantification, to assist diagnosis. In addition, the Monte Carlo method is
presented, as a basic tool for X ray imaging experimentation. The course hosts
lectures of experts in 3d medical imaging and image analysis on the above
topics. The course also includes laboratory exercises, implemented in suitable
The learning goals of the course are:
The final goal is to provide the students with the basic theoretical background
needed for understanding 3d imaging methods, as well as image quantification
methods, for assisting diagnosis, in an effort to enrich the themes of interest
of medical physicists-radiation physicists.
- Providing knowledge to students, regarding image reconstruction methods,
including filtered backprojection in the spatial and Fourier domains and the
MLEM and OSEM iterative reconstruction methods.
- Providing knowledge to students, regarding image quantification methods,
including local multiscale enhancement and 3d segmentation and registration
- Providing knowledge to students, regarding the Monte Carlo simulation method and
especially of the inversion and rejection sampling methods.
- Familiarization of the students with computational environment suitable for
implementing the above methods, by means of practicals and code demonstrations.