Certificate of Achievement
has completed the following course:
Statistical Shape Modelling: Computing the Human Anatomy
University of Basel
This free online course taught how anatomical shapes can be modelled statistically. It discussed the underlying mathematical concepts as well as their practical application to real world data using the open source software Scalismo.
8 weeks, 4 hours per week
Dr Marcel Lüthi
Researcher at the Institute of Computer Science
University of Basel
Dr Ghazi Bouabene
Researcher at the Institute of Computer Science
University of Basel
Transcript
Learning outcomes
- 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
Syllabus
- 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
Issued on 23rd March 2017
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