Statistical Shape Modelling: Computing the Human Anatomy (FutureLearn)

In this free online course, you will get insights from mathematics, statistics and machine learning, in order to address practical problems, as well as a theoretical and practical introduction to the open source software Scalismo.

Syllabus

Week 1: Basic concepts of shape modelling and the Scalismo software

Week 2: Building shape models: fundamental concepts in theory and practice

Week 3: Probabilistic aspects of shape models

Week 4: Modelling with Gaussian Processes

Week 5: Reconstructing missing parts

Week 6: Fitting models to data

Week 7: Model-based image analysis

Week 8: Conclusion and outlook

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

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 takes place between March 1, 2021 and May 2 2021

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.