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Diagnostic Medical Image Processing [DMIP]

- Modalitäten der medizinischen Bildgebung - akquisitionsspezifische Bildvorverarbeitung - 3D-Rekonstruktion - Bildregistrierung

Dates & Rooms:
Tuesday, 12:15 - 13:45; Room:
Friday, 12:15 - 13:45; Room:


You will have the opportunity to review the exam corrections on Monday, 24th of April 2017, from 15:30 - 16:30 in room 02.133.

Register for exam

The registration period for the exam is from

21.11.2016 - 09.12.2016

Please register in "mein campus" for the specific amount of ECTS that you want to achieve!
(5 ECTS if you are only attending the lecture, 7.5 ECTS if you intend to finish the exercises)


This lecture focuses on recent developments in image processing driven by medical applications. All algorithms are motivated by practical problems. The mathematical tools required to solve the considered image processing tasks will be introduced.

The lecture will be composed of the following topics:

  • Motivation: Introduction to Medical Image Processing
  • Acquisition: Basic Concepts of Different Modalities
  • Modality Dependent Image Preprocessing
  • Reconstruction in Medical Imaging
  • Image Registration

In addition to the lectures, we also offer exercise classes. In the tutorials the methods and procedures which are presented in this lecture are illustrated using simple exercises. The tutorials set emphasis on the practical realization of the methods as well.

Lecture slides

The lecture slides will be adapted from the last winter term.

It is absolutely recommended to attend the lectures in order to make personal notes. In addition, covered topics should be completed with personal research in according technical literature and publications that will be announced in the lecture as well.


The start of the lecture is on Tuesday, October 18th. The first exercise starts regularly on Wednesday, October 19th.

There are two rooms assigned to the audience of the lecture: RZ 2.037 and RZ 2.049. They will be used simultaneously for reasons to be announced in the first lecture. Please choose one of the rooms where you find a seat. You are going to be provided with all the information you need in both rooms.