Course Overview
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.
