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.



Introduction to advanced tomography



Instructors: Lars Pilgaard Mikkelsen
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There are 11 modules in this course
This modules introduces the course and the philosophy behind its structure
What's included
1 video1 reading1 discussion prompt
What's included
5 videos1 reading4 assignments
What's included
3 videos2 assignments1 ungraded lab
What's included
5 videos3 assignments
What's included
5 videos1 reading5 assignments
What's included
16 videos11 assignments8 ungraded labs
What's included
2 videos2 assignments
What's included
5 videos7 assignments5 ungraded labs3 plugins
What's included
2 videos
What's included
10 videos6 assignments1 discussion prompt7 ungraded labs
Short presentation of the instructors and in the Honors part work with other cases
What's included
6 readings2 ungraded labs
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Reviewed on Apr 13, 2025
Learning lessons are in-depth, explaining various methods in Computed Tomography with real-life examples. Thank you for making this course.
Reviewed on Nov 22, 2020
Eventhough this course is hard, I love it. Thankyou
Reviewed on Oct 9, 2022
Very complete course, it explained the workflow with high precision and good examples. The mathematical background can help you if you want to go deeper in tomography.
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