Tobias Mönch

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Line drawing techniques are important methods to illustrate shapes. Existing feature line methods, e.g., suggestive contours, apparent ridges, or photic extremum lines, solely determine salient regions and illustrate them with separate lines. Hatching methods convey the shape by drawing a wealth of lines on the whole surface. Both approaches are often not(More)
For the computer-aided diagnosis of tumor diseases knowledge about the position, size and type of the lymph nodes is needed to compute the tumor classification (TNM). For the computer-aided planning of subsequent surgeries like the Neck Dissection spatial information about the lymph nodes is also important. Thus, an efficient and exact segmentation method(More)
Smoothing algorithms allow to reduce artifacts from mesh generation, but often degrade accuracy. Thus, we present a method that identifies staircase artifacts which result from image inhomogeneities and binary segmentation in medical image data for subsequent removal by adaptive mesh smoothing. This paper makes the following specific contributions: caps,(More)
Real-time functional MRI (rfMRI) offers new experimental paradigms, such as biofeedback and interactive experiments. Usually, several separated software systems are used to control the MRI measuring sequence, the stimulus presentation, and the statistical analysis, which leads to problems concerning the user communication and synchro-nisation and(More)
The evaluation of spatial relationships between anatomic structures is a major task in surgical planning. Surface models generated from medical image data (intensity, binary) are often used for visualization and 3D measurement of extents and distances between neighboring structures. In applications for intervention or radiation treatment planning, the(More)
We compare selected mesh generation methods from intensity data and binary segmentions with respect to their application to surgical planning and make recommendations on how to receive smooth and accurate surface meshes for exemplary cases. We consider especially local curvature, distances between two meshes (before and after processing) and volume(More)