Statistical Shape Modelling – Online Course
Learn the technology of modelling, as used in computational face recognition or in surgeries, with this free online course.
Who is the course for?
This course is intended for students and professionals with a Bachelor in computer science, medical imaging professionals and biological anthropologists, who are interested in top-notch research, scientific insights and a useful application. Please note that tutoring usually takes place between End of February and Mid May. The course addresses people with some previous knowledge in computer science. If you find it challenging it would be a good idea to wait for the next mentoring window.
Although you can watch the videos, read the articles, and complete the tests and quizzes on mobile devices such as smartphones or tablets, you will have to install the free software Scalismo on your own workstation in order to use it – there is no online version available.
In order to be able to do this, your computer should meet the following minimum system requirements: Windows (32bit/64bit), Mac OS X or Linux (64bit), 4GB of RAM, 500MB of free HD space. There are no special requirements for the graphic adapter.
What topics will you cover?
Modelling families of anatomical shapes
Basic theory of Gaussian Processes for modelling shape variations
Usage of the shape modelling software Scalismo
Building classical statistical shape models from example data
Reconstruction of partially observed shapes
Fitting statistical shape models to surfaces
Establishing point-to-point correspondence between example shapes
Fitting statistical shape models to images
What will you achieve?
By the end of the course, you‘ll be able to…
Model the normal shape variations of anatomical shapes using Gaussian processes
Explore the mathematical concept of Gaussian processes visually on 3D shapes
Apply the theoretical concepts of shape modelling to clinically relevant problems in shape and image analysis
Develop programs for building and fitting statistical shape models to images using the open source software Scalismo