Karsten Rink

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We propose an automatic procedure for the correct segmen-tation of grey and white matter in MR data sets of the human brain. Our method exploits general anatomical knowledge for the initial segmenta-tion and for the subsequent refinement of the estimation of the cortical grey matter. Our results are comparable to manual segmentations.
We propose an algorithm for the segmentation of blood vessels in the kind of CT-data typical for diagnostics in a clinical environment. Due to poor quality and variance in the properties of the data sets a two level approach using implicit active contours is chosen for the task. A fast pre-segmentation using the fast marching method followed by propagation(More)
In dynamic SPECT (dSPECT) images, function of a particular organ may be analyzed by measuring the temporal change of the spatial distribution of a radioactive tracer. The organ-specific and location-specific time-activity curves (TAC) of the different heart regions (regions with normal blood circulation and with disturbed blood circulation) are helpful for(More)
Figure 1: Left: an uncut and a cut solid model made with our generic approach. Right: A model made with our ad-hoc approach. Abstract We present and compare two different approaches for performing rapid 3D geological modeling. The ad-hoc approach is based on a composition of many specialized modeling functions, while the generic approach provides one(More)
design for representing bird migration tracks in time and space. Paper presented at the Workshop Online is checked for eligibility for copyright before being made available in the live archive. URLs from City Research Online may be freely distributed and linked to from other web pages. Enquiries If you have any enquiries about any aspect of City Research(More)
We propose a dynamic coupled-surface level set approach for the segmentation of the cerebral cortex in MR images of the human brain. An iterative scheme for the estimations of local intensity distributions is applied to compensate for artefacts within the data. Results are given for 5 MR data sets acquired on a 3 Tesla Scanner. No pre-processing is required(More)
Social media platforms provide a useful source of data for environmental planning. In the last years these data have been exploited to perform social behaviour analysis. This work uses the huge amount of georeferenced images publicly available on social media as a source of information to infer the behaviour of tourists. Visual analytic mapping tools(More)
The Global Change Assessment Model (GCAM) is an integrated assessment tool for exploring consequences and responses to global change. However, the current iteration of GCAM relies on NetCDF file outputs which need to be output from the model and then exported for visualization and analysis purposes. Such a requirement limits the uptake of this modeling(More)
We present an environmental data visualization framework that features synchronous and asynchronous multiuser interaction with all the benefits of modern web-based applications, such as easy accessibility and cross-platform compatibility. In contrast to outdated web-based network protocols, the proposed framework uses HTML5 Web-Sockets to enable full-duplex(More)