In this course you get the chance to get teaching and hands-on experience with the complete workflow of high-resolution tomography analysis. You will get introduced to data acquisition, 3D reconstruction, segmentation and meshing and, finally, 3D modelling of data to extract physical parameters describing mechanical and flow properties. The teaching and the exercises will take place in close interaction with top experts in the field. Exercises will require some basic programming skills, and will be carried out in a common python environment.
Overview
Syllabus
- Introduction to Advanced Tomography
- This modules introduces the course and the philosophy behind its structure
- What is tomography and what can it do for me?
- Introduction to Jupyter notebooks for data handling
- Where is the data coming from?
- Description of the cases studied throughout the course
- Tomographic reconstruction
- Imaging contrast
- Segmentation
- Computer resources
- Modelling physical parameters
- Closing session
- Short presentation of the instructors and in the Honors part work with other cases
Taught by
Lars Pilgaard Mikkelsen and Jens Wenzel Andreasen
