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
ofrecido por
Universidad Técnica de Dinamarca (DTU)
Programa - Qué aprenderás en este curso
Semana
124 minutos para completar
Introduction to Advanced Tomography
This modules introduces the course and the philosophy behind its structure
1 videos (Total 9 minutos), 1 reading
1 videos
1 lecturas
Welcome to Introduction to Advanced Tomography10m
2 horas para completar
What is tomography and what can it do for me?
5 videos (Total 58 minutos), 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 lecturas
Applications of tomography10m
4 ejercicios de práctica
Use of tomography4m
X-ray based tomography10m
Resolution5m
Resolution, reflect upon what it is5m
2 horas para completar
Handling data
3 videos (Total 23 minutos), 2 quizzes
3 videos
Introduction to Jupyter notes (Nicolai Riis)12m
Using Jupyter notes beyond this course (Nicolai Riis)4m
2 ejercicios de práctica
Jupyter notes
Python primer4m
1 horas para completar
Where is the data coming from?
5 videos (Total 30 minutos), 3 quizzes
5 videos
Tomography experiments3m
Maxlab 4 (Henning Friis)9m
DTU Imaging Center (Henning Friis)5m
Manchester Imaging Facility (Jakob Sauer Jørgensen)3m
3 ejercicios de práctica
Synchrotron facilities2m
Large scale facilities and lab experiements4m
Synchrotron versus lab-systems1m
Semana
22 horas para completar
Cases
5 videos (Total 79 minutos), 5 quizzes
5 videos
Workflow9m
Composite materials for wind turbines12m
Chalk13m
Fiber case (Lars Pilgaard Mikkelsen)15m
Chalk (Henning Osholm)28m
5 ejercicios de práctica
Pipeline
Fibers for wind turbines15m
Chalk4m
Workflow1m
Summary questions on the fiber case30m
8 horas para completar
Tomographic reconstruction
16 videos (Total 154 minutos), 11 quizzes
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
Iterative reconstruction (Jakob Sauer Jørgensen)25m
Regularization (Jakob Sauer Jørgensen)11m
Software and summary (Jakob Sauer Jørgensen)5m
11 ejercicios de práctica
Getting started with tomography4m
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
Iterative and regularized reconstruction15m
Misc. reconstruction15m
14 minutos para completar
Imaging contrast
2 videos (Total 11 minutos), 2 quizzes
2 ejercicios de práctica
Contrast mechanism1m
Amplitude and Phase contrast2m
Semana
33 horas para completar
Segmentation
5 videos (Total 32 minutos), 7 quizzes
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 ejercicios de práctica
Thresholding - Example 15m
Thresholding - Example 22m
Thresholding - Example 35m
Image and volume segmentation10m
Segmentation strategies10m
Segmentation exercise - Fibers1m
Segmentation exercise - Chalk5m
1 horas para completar
Computer resources
3 videos (Total 37 minutos)
Semana
412 horas para completar
Modelling physical parameters
17 videos (Total 376 minutos), 7 readings, 9 quizzes
17 videos
Introduction to finite element modelling9m
Simple example of finite element modelling3m
Summary of the cases16m
Fiber (Lars Pilgaard Mikkelsen)15m
Introduction to finite element modelling (Anders Logg)44m
Introduction to finite element modelling - Exercise (Anders Logg)3m
Solving the poison equation (Anders Logg)40m
Solving the poison equation - Exercise (Anders Logg)14m
Solving nonlinear problems (Anders Logg)31m
Solving nonlinear problems - Exercise (Anders Logg)10m
Solving time dependent problems (Anders Logg)38m
Solving time dependent problems - Exercise (Anders Logg)23m
Application to elasticity (Anders Logg)37m
Application to elasticity - Exercise (Anders Logg)26m
Application to fluid flow (Anders Logg)31m
Application to fluid flow - Exercise (Anders Logg)20m
7 lecturas
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
How to study this section1m
How to study this section1m
9 ejercicios de práctica
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
Bundle case5m
What is Poisson Equation?1m
FEniCS: What is it?5m
Instructores
Lars Pilgaard Mikkelsen
Associate ProfessorDepartment of Wind Energy
Jens Wenzel Andreasen
ProfessorEnergy Conversion and Storage
Acerca de Universidad Técnica de Dinamarca (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.
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