1.5-day on-line training on the Mathematical principles and simulation of industrial Computed Tomography, organized in the context of the EU Marie Curie Industrial Training Network program xCTiNg.
The purpose of this course is to provide an overview on the subject of mathematical aspects of Computed Tomography. This course will cover reconstruction algorithmic issues, topics dealing with how to generate data for reconstruction in different domains, and artefacts inherent to different data collection strategies. Finally, the course comprises the basics on simulation of industrial Computed Tomography and an introduction to the ASTRA open source toolbox.
Zoom link (for passcode see announcement mail).
13:00 - 13:15 Welcome and introductions
13:15 - 14:00 Lecture - Basic concepts in inverse problems (Tristan van Leeuwen)
14:00 - 14:15 Break
14:15 - 17:00 Exercises
17:00 - 17:15 Closing remarks
Zoom link (for passcode see announcement mail).
09:00 - 09:15 Welcome and overview
09:15 - 10:00 Lecture - Mathematics of Tomography (Felix Lucka)
10:00 - 10:15 Break
10:15 - 12:00 Exercises
12:00 - 13:15 Break
13:15 - 14:00 Lecture - The ASTRA toolbox (Tristan van Leeuwen)
14:00 - 14:15 Break
14:15 - 17:00 Exercise
17:00 - 17:15 Closing remarks
You can use the Python notebooks for the practical sessions. You can run the notebooks straight away using Google CoLabs. Alternatively, you can run the notebooks locally if you've installed the ASTRA toolbox.
