Module ME4411-KP04
Computed Tomography (CTKP04)
Duration
1 Semester
Turnus of offer
each winter semester
Credit points
4
Course of studies, specific fields and terms:
- Master Medical Informatics 2019, optional subject, medical image processing
Classes and lectures:
- Computed Tomography (exercise, 1 SWS)
- Computed Tomography (lecture, 2 SWS)
Workload:
- 20 hours exam preparation
- 45 hours in-classroom work
- 55 hours private studies
Contents of teaching:
- Signal processing (recapitulation of fundamental principles in signal processing)
- Mathematical methods in image reconstruction and signal processing
- X-Ray (fundamental principles, quantum statistics)
- Computed Tomography * devices, * current and past technology, * signal processing, * Fourier-based 2D and 3D image reconstruction, * algebraic and statistical image reconstruction, * image artifacts, * technical and clinical applications, * dose.
Qualification-goals/Competencies:
- Students are able to create an overview of the signal chain for medical imaging.
- They are able to explain the mathematical background for the reconstruction of CT images.
- They are able to explain the basics for the creation of X-ray.
- They are able to list all generations of CT devices and explain differences and advances.
- They are able to apply the Fourier transform.
- They are able to explain the mathematical basics for the two-dimensional image reconstruction.
- They are able to create and apply an algebraic approach for the reconstruction of CT images.
- They are able to create and apply an statistical approach for the reconstruction of CT images.
- They are able to outline the differences between two dimensional and three dimensional image reconstruction.
- They are able to transfer methods from two dimensional to three dimensional image reconstruction.
Grading through:
- Oral examination
Responsible for this module:
Literature:
- T. M. Buzug : Computed Tomography, From Photon Statistics to Modern Cone Beam CT Springer-Verlag, Berlin/Heidelberg, 2008
- T. M. Buzug : Einführung in die Computertomographie, Mathematisch-physikalische Grundlagen der Bildrekonstruktion Springer-Verlag, Berlin/Heidelberg, 2004
Language:
- German and English skills required
Notes:
Prerequisites for attending the module:- None (The competences of the required modules are required for this module, but the modules are not a prerequisite for admission).
Prerequisites for the exam:
- Preliminary examinations can be determined at the beginning of the semester. If preliminary work has been defined, it must have been completed and positively assessed before the initial examination.
Last Updated:
05.09.2021