DTU - Introduction to advanced tomography
- Offered byCoursera
Introduction to advanced tomography at Coursera Overview
Duration | 30 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to advanced tomography at Coursera Highlights
- 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
Introduction to advanced tomography at Coursera Course details
- 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 at Coursera Curriculum
Introduction to Advanced Tomography
Introduction video
Welcome to Introduction to Advanced Tomography
What is tomography
X-ray imaging
Resolution and length scales
Discovering materials microstructure and function (Rajmund Mokso)
Applications of ... (Rajmund Mokso)
Applications of tomography
Use of tomography
X-ray based tomography
Resolution
Resolution, reflect upon what it is
Handling data
Introduction to Jupyter notes (Nicolai Riis)
Using Jupyter notes beyond this course (Nicolai Riis)
Jupyter notes
Python primer
Facilities
Tomography experiments
Maxlab 4 (Henning Friis)
DTU Imaging Center (Henning Friis)
Manchester Imaging Facility (Jakob Sauer Jørgensen)
Synchrotron facilities
Large scale facilities and lab experiements
Synchrotron versus lab-systems
Workflow
Composite materials for wind turbines
Chalk
Fiber case (Lars Pilgaard Mikkelsen)
Chalk (Henning Osholm)
Supplementary reading on the composite case
Pipeline
Fibers for wind turbines
Chalk
Workflow
Summary questions on the fiber case
Tomographic reconstruction
Introduction to tomography
Understanding the origin of the sinogram
Back-projection and filtered back-projection
Fourier reconstruction
Filtered back projection, part 2
Iterative reconstruction
X-ray tomography (Manuel Guizar-Sicairos)
Tomographic reconstruction (Jakob Sauer Jørgensen)
Tomography basics (Jakob Sauer Jørgensen)
Radon transform (Jakob Sauer Jørgensen)
Filtered back projection (Jakob Sauer Jørgensen)
Summary of filtered back projection reconstruction (Jakob Sauer Jørgensen)
Data corrections (Jakob Sauer Jørgensen)
Software and summary (Jakob Sauer Jørgensen)
Iterative reconstruction (Jakob Sauer Jørgensen)
Regularization (Jakob Sauer Jørgensen)
Getting started with tomography
Tomographic reconstruction
Filtered back-projection
Fourier reconstruction
Filtered back-projection, part 2
Iterative reconstruction
Reconstruction
Lambert-Beer and the Radon transform
Filtered back-projection and data corrections
Misc. reconstruction
Iterative and regularized reconstruction
Imaging contrast
Amplitude and phase contrast
Contrast mechanism
Amplitude and Phase contrast
Segmentation
Introduction to segmentation
Image and volume segmentation (Vedrana Andersen Dahl)
Segmentation strategies (Vedrana Andersen Dahl)
Segmentation exercise - Fibers (Vedrana Andersen Dahl)
Segmentation exercise - Chalk (Vedrana Andersen Dahl)
Thresholding - Example 1
Thresholding - Example 2
Thresholding - Example 3
Image and volume segmentation
Segmentation strategies
Segmentation exercise - Fibers
Segmentation exercise - Chalk
Computer resources
Efficient code
Modelling physical parameters
Simple modelling
Introduction to finite element modelling
Simple example of finite element modelling
Summary of the cases
Axial stiffness prediction of a fiber case (Lars Pilgaard Mikkelsen)
Getting started with CALFEM for python (case 0)
Tensile test of a rectangular material box (Case 1)
One fiber in a matrix box (case 2)
Multiple fibers in a matrix box (Case 3)
Bundle structure in a matrix box (case 4)
Finite element of a uni-axial tensile test
Finite element modelling
Estimate of the transverse stiffness if a composite material
Stiffness of the material box in the case of plane strain
Stiffness of the one fiber in a matrix box in the case of refined mesh
Stiffness of the fiber composite material
Lars Pilgaard Mikkelsen
Jakob Sauer Jørgensen
Vedrana Andersen Dahl
Jens Wenzel Andreasen
Installation instructions
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