Introduction to advanced tomography

Introduction to advanced tomography

Instructors: Lars Pilgaard Mikkelsen

5,260 already enrolled

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11 modules

Gain insight into a topic and learn the fundamentals.

67 reviews

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

11 modules

Gain insight into a topic and learn the fundamentals.

67 reviews

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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Assessments

40 assignments

Taught in English

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There are 11 modules in this course

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.

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

5 videosTotal 58 minutes

What is tomography11 minutes
X-ray imaging5 minutes
Resolution and length scales8 minutes
Discovering materials microstructure and function (Rajmund Mokso)14 minutes
Applications of ... (Rajmund Mokso)20 minutes

1 readingTotal 10 minutes

Applications of tomography10 minutes

4 assignmentsTotal 24 minutes

Resolution, reflect upon what it is5 minutes
Use of tomography4 minutes
X-ray based tomography10 minutes
Resolution5 minutes

What's included

3 videos2 assignments1 ungraded lab

What's included

5 videos3 assignments

What's included

5 videos1 reading5 assignments

5 videosTotal 79 minutes

Workflow9 minutes
Composite materials for wind turbines12 minutes
Chalk14 minutes
Fiber case (Lars Pilgaard Mikkelsen)16 minutes
Chalk (Henning Osholm)28 minutes

1 readingTotal 10 minutes

Supplementary reading on the composite case10 minutes

5 assignmentsTotal 76 minutes

Pipeline0 minutes
Fibers for wind turbines15 minutes
Chalk30 minutes
Workflow1 minute
Summary questions on the fiber case30 minutes

What's included

16 videos11 assignments8 ungraded labs

16 videosTotal 154 minutes

Introduction to tomography5 minutes
Understanding the origin of the sinogram3 minutes
Back-projection and filtered back-projection6 minutes
Fourier reconstruction5 minutes
Filtered back projection, part 28 minutes
Iterative reconstruction5 minutes
X-ray tomography (Manuel Guizar-Sicairos)40 minutes
Tomographic reconstruction (Jakob Sauer Jørgensen)1 minute
Tomography basics (Jakob Sauer Jørgensen)6 minutes
Radon transform (Jakob Sauer Jørgensen)6 minutes
Filtered back projection (Jakob Sauer Jørgensen)19 minutes
Summary of filtered back projection reconstruction (Jakob Sauer Jørgensen)2 minutes
Data corrections (Jakob Sauer Jørgensen)6 minutes
Software and summary (Jakob Sauer Jørgensen)5 minutes
Iterative reconstruction (Jakob Sauer Jørgensen)25 minutes
Regularization (Jakob Sauer Jørgensen)12 minutes

11 assignmentsTotal 122 minutes

Getting started with tomography30 minutes
Tomographic reconstruction5 minutes
Iterative reconstruction7 minutes
Filtered back-projection and data corrections15 minutes
Iterative and regularized reconstruction15 minutes
Filtered back-projection5 minutes
Fourier reconstruction5 minutes
Filtered back-projection, part 23 minutes
Reconstruction7 minutes
Lambert-Beer and the Radon transform15 minutes
Misc. reconstruction15 minutes

8 ungraded labsTotal 245 minutes

Recon 1: Basic data simulation and reconstruction by FBP30 minutes
Recon 2: Loading and preprocessing data30 minutes
Recon 3: FBP reconstruction of chalk data (parallel beam)30 minutes
Recon 4: Iterative reconstruction methods45 minutes
Recon 5: The fan-beam geometry20 minutes
Recon 6: Region-of-interest data30 minutes
Recon 7: Reconstruction of fiber data: bundles (large field of view)30 minutes
Recon 8: Reconstruction of fiber data: fibres (small field of view)30 minutes

What's included

2 videos2 assignments

What's included

5 videos7 assignments5 ungraded labs3 plugins

5 videosTotal 32 minutes

Introduction to segmentation8 minutes
Image and volume segmentation (Vedrana Andersen Dahl)10 minutes
Segmentation strategies (Vedrana Andersen Dahl)8 minutes
Segmentation exercise - Fibers (Vedrana Andersen Dahl)3 minutes
Segmentation exercise - Chalk (Vedrana Andersen Dahl)4 minutes

7 assignmentsTotal 66 minutes

Thresholding - Example 230 minutes
Thresholding - Example 35 minutes
Thresholding - Example 15 minutes
Image and volume segmentation10 minutes
Segmentation strategies10 minutes
Segmentation exercise - Fibers1 minute
Segmentation exercise - Chalk5 minutes

5 ungraded labsTotal 150 minutes

Segmentation - introduction30 minutes
Segmentation - filtering30 minutes
Segmentation - Fibres30 minutes
Segmentation - Chalk processing30 minutes
Segmentation - Chalk segmentation30 minutes

3 pluginsTotal 3 minutes

Threshold - Simple1 minute
Threshold - Noise1 minute
Threshold - Jellyfish1 minute

What's included

2 videos

What's included

10 videos6 assignments1 discussion prompt7 ungraded labs

10 videosTotal 121 minutes

Simple modelling8 minutes
Introduction to finite element modelling9 minutes
Simple example of finite element modelling4 minutes
Summary of the cases17 minutes
Axial stiffness prediction of a fiber case (Lars Pilgaard Mikkelsen)16 minutes
Getting started with CALFEM for python (case 0)9 minutes
Tensile test of a rectangular material box (Case 1)25 minutes
One fiber in a matrix box (case 2)10 minutes
Multiple fibers in a matrix box (Case 3)14 minutes
Bundle structure in a matrix box (case 4)9 minutes

6 assignmentsTotal 60 minutes

Stiffness of the material box in the case of plane strain10 minutes
Stiffness of the one fiber in a matrix box in the case of refined mesh15 minutes
Finite element of a uni-axial tensile test5 minutes
Finite element modelling5 minutes
Estimate of the transverse stiffness if a composite material15 minutes
Stiffness of the fiber composite material10 minutes

1 discussion promptTotal 10 minutes

Suggestion of subjects for x-ray and FE-modelling10 minutes

7 ungraded labsTotal 145 minutes

Case0-Introduction notebook15 minutes
Case1-MatrixBox25 minutes
Case2-OneFiberMatrixBox15 minutes
Case3-MultiFibersMatrixBox15 minutes
Segmentation - bundle meshing30 minutes
Case4-BundleMatrixBox15 minutes
Segmentation - Chalk meshing30 minutes

Short presentation of the instructors and in the Honors part work with other cases

What's included

6 readings2 ungraded labs

Instructors

Instructor ratings

(21 ratings)

Lars Pilgaard Mikkelsen

Technical University of Denmark (DTU)

2 Courses177,695 learners

Jens Wenzel Andreasen

Technical University of Denmark (DTU)

3 Courses140,172 learners

Vedrana Andersen Dahl

Technical University of Denmark (DTU)

1 Course5,260 learners

Offered by

Technical University of Denmark (DTU)

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Reviewed on Apr 25, 2020

Excellent basics on tomography and research oriented course.

Reviewed on Oct 10, 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.

Reviewed on Nov 23, 2020

Eventhough this course is hard, I love it. Thankyou

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