Mathematical Image Analysis
I’m taking just one course this semester — a special topics course on Computational Anatomy and Medical Image Analysis. The course is highly focused on the research interests of my supervisor, so instead of sitting beside each other in the lab, we go to another class room and sit beside each other.
Computational Anatomy is “the use of mathematical analysis to learn how tissues grow, assume new shapes and morph into mature structures.” The first few classes are review of the pre-requisites – linear systems theory and stochastic systems. Having not taken either of these courses, I’m seeing plenty of new material. A lot of it is intuitive, some of it not obvious at all. Overall a Good Thing.
I don’t have a copy of the outline yet, but some of the topics we are going to cover are vector space theory, variational calculus, differential and riemannian geometry, tensor analysis and applications in Computational Anatomy. An example of an application is what I’ve just finished writing — linear statistical analysis to classify the hippocampus in dementia of the Alzheimer’s type.
I’ll be posting about things that I find interesting here. If you’re in the class and want to follow along, a quick way to do so if by bookmarking the tag: ensc462.
September 20th, 2007 at 6:46 am
So, are you using any tools/libraries or is this all hand-coded?
That actually sounds like fun; would be interesting to see its applicability in engineering systems.