Introduction to (Micro-)CT Scanning: Acquisition, Segmentation and Postprocessing

This course offers a technical foundation in (micro-)CT scanning (Computed Tomography). Participants will acquire the necessary skills to operate this technology effectively, moving from initial data capture to final visualisation.

The curriculum focuses on providing a structured workflow for CT-based imaging through the following modules:

• Data Acquisition: An analysis of scanner types, acquisition parameters, and protocols for obtaining high-quality data across various scientific applications.
• Image Reconstruction: Principles of transforming raw scan data into usable volumetric images.
• Segmentation Techniques: Practical methods for isolating structures of interest and managing complex datasets.
• Data Postprocessing: Implementation of postprocessing workflows, including noise reduction, image enhancement, and dataset preparation for quantitative analysis.
• Visual Communication: Creation of high-quality images and videos to represent CT data in research publications and presentations.

The course is designed to be accessible and hands-on, making it ideal for beginners seeking a structured introduction to CT-based imaging workflows.

Places are limited to 14 participants.