Course detail
X-Ray Computed Tomography
FSI-9RPT Acad. year: 2021/2022 Winter semester
The subject of the course X-ray computed tomography is to get familiar with computed tomography and practically demonstrate its possibilities in structural analysis and benefits in applied and basic research.
Language of instruction
Czech
Supervisor
Department
Learning outcomes of the course unit
Getting familiar with basics of this technique both theoretically, and practically.
The knowledge about the possibilities state of the art laboratory CT systems and their applications in science.
Capability of reliable CT data reading and brief overview about 3D analysis using professional software.
Prerequisites
Finalized master thesis in appropriate field.
Planned learning activities and teaching methods
theoretical and practical part
Assesment methods and criteria linked to learning outcomes
final exam
Aims
The aim of the subject is to get familiar with computed tomography and practically demonstrate its possibilities in structural analysis and benefits in applied and basic research. For this purpose, the practical part is getting the same space as the theory and the student will participate on the real measurement and realize the own data analysis. The study includes explanation of X-ray generation, analysis of data reconstruction and image processing, so student can find its own interest according to his/her background.
Specification of controlled education, way of implementation and compensation for absences
preparation from literature sources, practical preparation, presentation of selected topic
The study programmes with the given course
Programme D-FIN-P: Physical Engineering and Nanotechnology, Doctoral, recommended course
Programme D-FIN-K: Physical Engineering and Nanotechnology, Doctoral, recommended course
Type of course unit
Lecture
20 hours, optionally
Syllabus
– The principles of Computed Tomography, mathematical tool for tomographic reconstruction
- X-Ray radiation generation and interaction with matter
- Tomographic reconstruction implementation in Matlab, Shepp-Logan phantom
- Practical applications of laboratory micro CT systems
- Tomographic artefacts, description, avoidance methods.
- Surface determination of the object, dimensional measurement, reversal engineering
- CT data visualization and analysis
- Advanced CT technique (helical trajectory, off-axis detector, phase contrast imaging, dual energy)