CGV Colloquium – Thursday December 11th

We would like to invite you to a special CGV colloquium on the 11th of December at 15:45 – 17:15 (see details below). The colloquium will be held in the Dijkstrazaal (HB 09.150) and will feature two invited talks by guest speakers: 

image003Prof. Dr.-Ing. Bernhard Preim

Title: Visual Analytics in Cohort Study Data

Abstract: Epidemiology aims at understanding relations between life style, genetics, environmental factors and the outbreak of diseases.

Recent large scale cohort studies involving a wealth of sociodemographic data and medical image data bear a great potential to identify complex interactions between different factors and non-linear relations between risk factors and the likelihood and severity of diseases. A combination of data analysis (dimensionality reduction and clustering), image analysis (segmentation and quantification of target structures) and interactive visualization supports the generation of new hypothesis.

As case study, we discuss back pain and its relation to socio-demographic and medical image data. The epidemiological data is part of the SHIP ( 


Prof.dr. Jos Roerdink

Title: Brain Patterns: Prediction of Neurodegenerative Diseases

Abstract: In this talk, I will discuss some recent work on the visualization and analysis of brain patterns obtained from neuroimaging data, and their use in the understanding of brain (mal)functioning.

The recently GLIMPS (“GLucose IMaging in ParkinsonismS”) project at the University of Groningen concerns the creation of a national database of FDG-PET scans which reflect the glucose consumption of the brain in patients with neuro-degenerative diseases. The goal is to identify distinctive structural and functional brain patterns and derived quantities like network patterns of brain activity, which display statistically significant differences in healthy subjects and patients with certain types of neuro-degenerative disease. The database will be used for clinical practice as well as for research purposes. Pattern classification and visualization methods will be developed to associate brain patterns to various types and stages of neuro-degenerative disease. First results will be shown and discussed.