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Instructors: Prof. Dr. Georgios Sakas
Event type:
Lecture
Org-unit: Dept. 20 - Computer Science
Displayed in timetable as:
Med.Bildverarbeitung
Subject:
Crediting for:
Hours per week:
2
Language of instruction:
German
Min. | Max. participants:
- | -
Course Contents:
The lecture consists of two parts. The first half of the lecture describes how devices that yield medical image data (CT, NMR, PET, SPECT, Ultrasound) work. The second half of the lecture covers various image processing techniques that are typically applied to medical images.
Learning Outcomes:
After successfully completing the course, students have an overview over the mechanisms used in and the abilities of modern medical image processing techniques. They are able to solve basic to medium level problems in medical image processing.
Literature:
1) Heinz Handels: Medizinische Bildverarbeitung
2) Gonzalez/Woods: Digital Image Processing (last edition)
3) Bernd Jähne: Digitale Bildverarbeitung. 6. überarbeitete und erweiterte Auflage. Springer, Berlin u. a. 2005, ISBN 3-540-24999-0
4) Kristian Bredies, Dirk Lorenz: Mathematische Bildverarbeitung. Einführung in Grundlagen und moderne Theorie. Vieweg+Teubner, Wiesbaden 2011, ISBN 978-3-8348-1037-3
Preconditions:
Basics within Mathematics are highly recommended.
Participation in lecture "Bildverarbeitung".
Further Grading Information:
L 3CP/2SWS, each winter semester
Online Offerings:
moodle
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