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.
Offert par
Introduction to advanced tomography
Université technique du Danemark (DTU)À propos de ce cours
Offert par

Université technique du Danemark (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.
Programme de cours : ce que vous apprendrez dans ce cours
Introduction to Advanced Tomography
This modules introduces the course and the philosophy behind its structure
What is tomography and what can it do for me?
Introduction to Jupyter notebooks for data handling
Where is the data coming from?
Description of the cases studied throughout the course
Tomographic reconstruction
Imaging contrast
Segmentation
Computer resources
Modelling physical parameters
Closing session
Short presentation of the instructors and in the Honors part work with other cases
Avis
- 5 stars76,19 %
- 4 stars14,28 %
- 3 stars7,14 %
- 1 star2,38 %
Meilleurs avis pour INTRODUCTION TO ADVANCED TOMOGRAPHY
Eventhough this course is hard, I love it. Thankyou
Excellent basics on tomography and research oriented course.
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