UGCT Doctoral School on X-ray tomography image processing with deep learning

Aim and Topic

X-ray micro computed tomography is an imaging technique widely used in science and engineering. A key component in the workflow of X-ray micro computed tomography is the image processing and analysis required to extract valuable information from the images. In this advanced doctoral training course, we aim to provide a detailed overview on X-ray tomography image processing and the application of deep learning techniques through a series of lectures and hands on practical sessions in Dragonfly and Python.

Upon completing the course, the participants will be familiar with deep learning image processing techniques suitable for analysing X-ray micro computed tomography images and understand where deep learning techniques can be applied and where other image processing techniques are better suited. The participants will be able to carry out the image processing procedures from the practical sessions, consisting of training with Dragonfly (commercial software, free for academic use) and open source software Python. The code from the latter will be made available for the participants.

Participants are expected to bring a poster of their scientific research, preferably on the topic of X-ray CT, to display during the poster reception on Monday 06/02.

Download schedule

Registration

This course is free of charge for UGent PhD students. External participants will be charged €250. More information on payment details will be emailed to external participants after registration.

For more information on the course, contact Liselotte de Ligne or Jaianth Vijayakumar.