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.
ofrecido por
Introduction to advanced tomography
Universidad Técnica de Dinamarca (DTU)Acerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 30 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 30 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
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.
Programa - Qué aprenderás en este curso
29 minutos para completar
Introduction to Advanced Tomography
This modules introduces the course and the philosophy behind its structure
29 minutos para completar
1 video (Total 9 minutos), 1 lectura
1 video
1 lectura
Welcome to Introduction to Advanced Tomography10m
2 horas para completar
What is tomography and what can it do for me?
2 horas para completar
5 videos (Total 58 minutos), 1 lectura, 4 cuestionarios
5 videos
X-ray imaging4m
Resolution and length scales8m
Discovering materials microstructure and function (Rajmund Mokso)14m
Applications of ... (Rajmund Mokso)20m
1 lectura
Applications of tomography10m
4 ejercicios de práctica
Use of tomography4m
X-ray based tomography10m
Resolution5m
Resolution, reflect upon what it is5m
3 horas para completar
Introduction to Jupyter notebooks for data handling
3 horas para completar
3 videos (Total 23 minutos)
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 primer30m
1 hora para completar
Where is the data coming from?
1 hora para completar
5 videos (Total 30 minutos)
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
3 horas para completar
Description of the cases studied throughout the course
3 horas para completar
5 videos (Total 79 minutos), 1 lectura, 5 cuestionarios
5 videos
Workflow9m
Composite materials for wind turbines12m
Chalk13m
Fiber case (Lars Pilgaard Mikkelsen)15m
Chalk (Henning Osholm)28m
1 lectura
Supplementary reading on the composite case10m
5 ejercicios de práctica
Pipeline
Fibers for wind turbines15m
Chalk30m
Workflow1m
Summary questions on the fiber case30m
9 horas para completar
Tomographic reconstruction
9 horas para completar
16 videos (Total 154 minutos)
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 ejercicios de práctica
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 minutos para completar
Imaging contrast
14 minutos para completar
2 videos (Total 11 minutos)
2 ejercicios de práctica
Contrast mechanism1m
Amplitude and Phase contrast2m
4 horas para completar
Segmentation
4 horas para completar
5 videos (Total 32 minutos)
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 230m
Thresholding - Example 35m
Image and volume segmentation10m
Segmentation strategies10m
Segmentation exercise - Fibers1m
Segmentation exercise - Chalk5m
15 minutos para completar
Computer resources
15 minutos para completar
2 videos (Total 15 minutos)
6 horas para completar
Modelling physical parameters
6 horas para completar
10 videos (Total 121 minutos)
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 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
3 horas para completar
Closing session
Short presentation of the instructors and in the Honors part work with other cases
3 horas para completar
6 lecturas
6 lecturas
Lars Pilgaard Mikkelsen10m
Jakob Sauer Jørgensen10m
Vedrana Andersen Dahl10m
Jens Wenzel Andreasen10m
Installation instructions10m
Want to learn more?10m
Reseñas
Principales reseñas sobre INTRODUCTION TO ADVANCED TOMOGRAPHY
por YA24 de abr. de 2020
Excellent basics on tomography and research oriented course.
por JA22 de nov. de 2020
Eventhough this course is hard, I love it. Thankyou
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