Vorlesung: Image Acquisition and Analysis in Neuroscience


  • Dozent(en):
  • Beginn: Mon. 08.10.2018, 12:15, HS4
  • Zeiten: Mon. 12:15-13:45 and Thu 14:15-15:45, HS4
  • Veranstaltungsnummer: MA-INF 2312
  • Studiengang: Master
  • Aufwand: 4.0 SWS / 6 CP
  • Prüfungen: oral, dates TBA



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Magnetic Resonance Imaging (MRI) along with its modern variants functional and diffusion MRI have become indispensable tools in neuroscience: Imaging the living brain allows us to detect brain regions that engage in specific tasks, to investigate the wiring of the brain, to study and to quantify the effects of aging or disease. Recently, some image-based studies have even made the headlines, suggesting that MR imaging might be used to detect lies, diagnose psychiatric disease, or identify images viewed by the subject in the scanner.

This lecture will make you understand the wide range of image processing and pattern recognition methods behind such results. In particular, image acquisition and analysis in neuroscience require the following computational methods:

  • Image reconstruction for Magnetic Resonance Imaging
  • 3D Image Registration
  • 3D Image Segmentation
  • Models for functional MRI (fMRI) and diffusion MRI (dMRI) data
  • Statistical Hypothesis Testing
  • Machine Learning

The lecture conveys an understanding of all these topics, and is ideally suited to prepare you for a lab course or a master thesis in this field. At the same time, you will learn about some fundamental methods in medical image processing, statistical modeling, and machine learning, which are useful far beyond their applications in neuroimaging.


The lecture takes place twice a week - Monday and Thursday - with an exercise class replacing the lecture roughly every other week. The specific exercise dates are: 25.10., 12.11., 26.11., 10.12., 7.1., 21.1.. There will be individual oral exams at the end of the semester.



Übung 1: Fourier-Analysis
Übungsblatt  (PDF-Dokument, 163 KB)
Übung 2: Magnetic-Resonance-Imaging
Übungsblatt  (PDF-Dokument, 215 KB)
Übung 3: Registration
Übungsblatt  (PDF-Dokument, 198 KB)
Übung 4: Segmentation
Übungsblatt  (PDF-Dokument, 206 KB)
Übung 5: Statistics
Übungsblatt  (PDF-Dokument, 159 KB)
Übung 6: fMRI-and-dMRI
Übungsblatt  (PDF-Dokument, 214 KB)