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.
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Introduction to advanced tomography
Technical University of Denmark (DTU)About this Course
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Approx. 30 hours to complete
English
Subtitles: English
Instructors
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
English
Subtitles: English
Offered by
Technical University of Denmark (DTU)
DTU focuses on research in technical and natural sciences that contributes to the development of society. As an industrially orientated university, our goal is to supply high-level international research based on combining theory with constructing models and empirical methods.
Syllabus - What you will learn from this course
24 minutes to complete
Introduction to Advanced Tomography
This modules introduces the course and the philosophy behind its structure
24 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
Resolution5m
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
Workflow9m
Composite materials for wind turbines12m
Chalk13m
Fiber case (Lars Pilgaard Mikkelsen)15m
Chalk (Henning Osholm)28m
1 reading
Supplementary reading on the composite case10m
5 practice exercises
Pipeline
Fibers for wind turbines15m
Chalk30m
Workflow1m
Summary questions on the fiber case30m
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
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 practice exercises
Contrast mechanism1m
Amplitude and Phase contrast2m
4 hours to complete
Segmentation
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)
5 hours to complete
Modelling physical parameters
5 hours to complete
5 videos (Total 53 min), 5 readings, 6 quizzes
5 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
5 readings
Getting started with Calfem for Python5m
PowerPoint presentation on Case1-Matrix box15m
PowerPoint presentation on Case2-OneFiberMatrixBox15m
PowerPoint presentation on Case3-MultiFibersMatrixBox15m
PowerPoint presentation on Case4-BundleMatrixBox15m
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
Short presentation of the instructors and in the Honors part work with other cases
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
Reviews
TOP REVIEWS FROM INTRODUCTION TO ADVANCED TOMOGRAPHY
by YAApr 24, 2020
Excellent basics on tomography and research oriented course.
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