About this Course

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Flexible deadlines
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Approx. 30 hours to complete
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 30 hours to complete

Offered by


Technical University of Denmark (DTU)

Syllabus - What you will learn from this course


Week 1

29 minutes to complete

Introduction to Advanced Tomography

29 minutes to complete
1 video (Total 9 min), 1 reading
1 video
1 reading
Welcome to Introduction to Advanced Tomography10m
2 hours to complete

What is tomography and what can it do for me?

2 hours to complete
5 videos (Total 58 min), 1 reading, 4 quizzes
5 videos
X-ray imaging4m
Resolution and length scales8m
Discovering materials microstructure and function (Rajmund Mokso)14m
Applications of ... (Rajmund Mokso)20m
1 reading
Applications of tomography10m
4 practice exercises
Use of tomography4m
X-ray based tomography10m
Resolution, reflect upon what it is5m
3 hours to complete

Introduction to Jupyter notebooks for data handling

3 hours to complete
3 videos (Total 23 min)
3 videos
Introduction to Jupyter notes (Nicolai Riis)12m
Using Jupyter notes beyond this course (Nicolai Riis)4m
2 practice exercises
Jupyter notes
Python primer30m
1 hour to complete

Where is the data coming from?

1 hour to complete
5 videos (Total 30 min)
5 videos
Tomography experiments3m
Maxlab 4 (Henning Friis)9m
DTU Imaging Center (Henning Friis)5m
Manchester Imaging Facility (Jakob Sauer Jørgensen)3m
3 practice exercises
Synchrotron facilities2m
Large scale facilities and lab experiements4m
Synchrotron versus lab-systems1m
3 hours to complete

Description of the cases studied throughout the course

3 hours to complete
5 videos (Total 79 min), 1 reading, 5 quizzes
5 videos
Composite materials for wind turbines12m
Fiber case (Lars Pilgaard Mikkelsen)15m
Chalk (Henning Osholm)28m
1 reading
Supplementary reading on the composite case10m
5 practice exercises
Fibers for wind turbines15m
Summary questions on the fiber case30m

Week 2

9 hours to complete

Tomographic reconstruction

9 hours to complete
16 videos (Total 154 min)
16 videos
Understanding the origin of the sinogram3m
Back-projection and filtered back-projection6m
Fourier reconstruction5m
Filtered back projection, part 27m
Iterative reconstruction4m
X-ray tomography (Manuel Guizar-Sicairos)39m
Tomographic reconstruction (Jakob Sauer Jørgensen)1m
Tomography basics (Jakob Sauer Jørgensen)5m
Radon transform (Jakob Sauer Jørgensen)6m
Filtered back projection (Jakob Sauer Jørgensen)18m
Summary of filtered back projection reconstruction (Jakob Sauer Jørgensen)1m
Data corrections (Jakob Sauer Jørgensen)6m
Software and summary (Jakob Sauer Jørgensen)5m
Iterative reconstruction (Jakob Sauer Jørgensen)25m
Regularization (Jakob Sauer Jørgensen)11m
11 practice exercises
Getting started with tomography30m
Tomographic reconstruction5m
Filtered back-projection5m
Fourier reconstruction5m
Filtered back-projection, part 23m
Iterative reconstruction7m
Lambert-Beer and the Radon transform15m
Filtered back-projection and data corrections15m
Misc. reconstruction15m
Iterative and regularized reconstruction15m
14 minutes to complete

Imaging contrast

14 minutes to complete
2 videos (Total 11 min)
2 videos
Amplitude and phase contrast4m
2 practice exercises
Contrast mechanism1m
Amplitude and Phase contrast2m

Week 3

4 hours to complete


4 hours to complete
5 videos (Total 32 min)
5 videos
Image and volume segmentation (Vedrana Andersen Dahl)9m
Segmentation strategies (Vedrana Andersen Dahl)8m
Segmentation exercise - Fibers (Vedrana Andersen Dahl)2m
Segmentation exercise - Chalk (Vedrana Andersen Dahl)3m
7 practice exercises
Thresholding - Example 15m
Thresholding - Example 230m
Thresholding - Example 35m
Image and volume segmentation10m
Segmentation strategies10m
Segmentation exercise - Fibers1m
Segmentation exercise - Chalk5m
15 minutes to complete

Computer resources

15 minutes to complete
2 videos (Total 15 min)
2 videos
Efficient code5m

Week 4

6 hours to complete

Modelling physical parameters

6 hours to complete
10 videos (Total 121 min)
10 videos
Introduction to finite element modelling9m
Simple example of finite element modelling3m
Summary of the cases16m
Axial stiffness prediction of a fiber case (Lars Pilgaard Mikkelsen)15m
Getting started with CALFEM for python (case 0)9m
Tensile test of a rectangular material box (Case 1)25m
One fiber in a matrix box (case 2)9m
Multiple fibers in a matrix box (Case 3)14m
Bundle structure in a matrix box (case 4)8m
6 practice exercises
Finite element of a uni-axial tensile test5m
Finite element modelling5m
Estimate of the transverse stiffness if a composite material15m
Stiffness of the material box in the case of plane strain10m
Stiffness of the one fiber in a matrix box in the case of refined mesh15m
Stiffness of the fiber composite material10m
3 hours to complete

Closing session

3 hours to complete
6 readings
6 readings
Lars Pilgaard Mikkelsen10m
Jakob Sauer Jørgensen10m
Vedrana Andersen Dahl10m
Jens Wenzel Andreasen10m
Installation instructions10m
Want to learn more?10m



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