TY - JOUR A1 - Günther, Tobias A1 - Kuhn, Alexander A1 - Kutz, Benjamin A1 - Theisel, Holger T1 - Mass-Dependent Integral Curves in Unsteady Vector Fields JF - Computer Graphics Forum Y1 - 2013 U6 - https://doi.org/10.1111/cgf.12108 VL - 32 SP - 211 EP - 220 ER - TY - CHAP A1 - Kuhn, Alexander A1 - Lindow, Norbert A1 - Günther, Tobias A1 - Wiebel, Alexander A1 - Theisel, Holger A1 - Hege, Hans-Christian T1 - Trajectory Density Projection for Vector Field Visualization T2 - EuroVis 2013, short papers. M. Hlawitschka, Tino Weinkauf (eds.) Y1 - 2013 UR - http://vc.cs.ovgu.de/files/publications/2013/Kuhn_2013_EUROVIS.pdf U6 - https://doi.org/10.2312/PE.EuroVisShort.EuroVisShort2013.031-035 SP - 31 EP - 35 ER - TY - CHAP A1 - Wiebel, Alexander A1 - Preis, Philipp A1 - Vos, Frans A1 - Hege, Hans-Christian ED - Hlawitschka, Mario ED - Weinkauf, Tino T1 - 3D Strokes on Visible Structures in Direct Volume Rendering T2 - EuroVis - Short Papers Y1 - 2013 U6 - https://doi.org/10.2312/PE.EuroVisShort.EuroVisShort2013.091-095 SP - 91 EP - 95 PB - Eurographics Association ER - TY - JOUR A1 - Kratz, Andrea A1 - Auer, Cornelia A1 - Stommel, Markus A1 - Hotz, Ingrid T1 - Visualization and Analysis of Second-Order Tensors: Moving Beyond the Symmetric Positive-Definite Case JF - Computer Graphics Forum - State of the Art Reports Y1 - 2013 U6 - https://doi.org/10.1111/j.1467-8659.2012.03231.x VL - 1 SP - 49 EP - 74 ER - TY - JOUR A1 - Kratz, Andrea A1 - Baum, Daniel A1 - Hotz, Ingrid T1 - Anisotropic Sampling of Planar and Two-Manifold Domains for Texture Generation and Glyph Distribution JF - Transactions on Visualization and Computer Graphics (TVCG) Y1 - 2013 U6 - https://doi.org/10.1109/TVCG.2013.83 VL - 19 SP - 1782 EP - 1794 ER - TY - JOUR A1 - Ehlke, Moritz A1 - Ramm, Heiko A1 - Lamecker, Hans A1 - Hege, Hans-Christian A1 - Zachow, Stefan T1 - Fast Generation of Virtual X-ray Images for Reconstruction of 3D Anatomy JF - IEEE Transactions on Visualization and Computer Graphics Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-35928 VL - 19 IS - 12 SP - 2673 EP - 2682 ER - TY - CHAP A1 - Schütt, Thorsten A1 - Merzky, André A1 - Hutanu, Andrei A1 - Schintke, Florian T1 - Remote partial file access using compact pattern descriptions T2 - 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004), April 19-22, 2004, Chicago, Illinois, USA Y1 - 2004 U6 - https://doi.org/10.1109/CCGrid.2004.1336604 SP - 482 EP - 489 PB - IEEE Computer Society ER - TY - JOUR A1 - Allen, Gabrielle A1 - Davis, K. A1 - Goodale, Tom A1 - Hutanu, Andrei A1 - Kaiser, Hartmut A1 - Kielmann, Thilo A1 - Merzky, Andre A1 - Nieuwpoort, R. A1 - Reinefeld, Alexander A1 - Schintke, Florian A1 - Schütt, Thorsten A1 - Seidel, Edward A1 - Ullmer, Brygg T1 - The Grid Application Toolkit: Toward Generic and Easy Appliction Programming Interfaces for the Grid JF - Procceedings of the IEEE Y1 - 2005 U6 - https://doi.org/10.1109/JPROC.2004.842755 VL - 93 IS - 3 SP - 534 EP - 550 PB - IEEE Computer Society Press ER - TY - JOUR A1 - Sarich, Marco A1 - Djurdjevac Conrad, Natasa A1 - Bruckner, Sharon A1 - Conrad, Tim A1 - Schütte, Christof T1 - Modularity revisited: A novel dynamics-based concept for decomposing complex networks JF - Journal of Computational Dynamics Y1 - 2014 UR - http://publications.mi.fu-berlin.de/1127/ U6 - https://doi.org/10.3934/jcd.2014.1.191 VL - 1 IS - 1 SP - 191 EP - 212 ER - TY - CHAP A1 - Gladilin, Evgeny T1 - A contour based approach for invariant shape description T2 - SPIE Medical Imaging Conference Y1 - 2004 VL - 5370 SP - 1282 EP - 1291 CY - San Diego, USA ER - TY - THES A1 - Lamecker, Hans T1 - Variational and statistical shape modeling for 3D geometry reconstruction N2 - The reconstruction of geometric shapes plays an important role in many biomedical applications. One example is the patient-specific, computer-aided planning of complex interventions, which requires the generation of explicitly represented geometric models of anatomical structures from medical image data. Only solutions that require minimal interaction by medical personnel are likely to enter clinical routine. Another example is the planning of surgical corrections of deformities where the target shape is unknown. Surgeons are often forced to resort to subjective criteria. These applications still pose highly challenging reconstruction problems, which are addressed in this thesis. The fundamental hypothesis, pursued in this thesis, is that the problems can be solved by incorporating a-priori knowledge about shape and other application-specific characteristics. Here, we focus mainly on the aspect of geometric shape analysis. The basic idea is to capture the most essential variations of a certain class of geometric objects via statistical shape models, which model typical features contained in a given population, and restrict the outcome of a reconstruction algorithm (more or less) to the space spanned by such models. A fundamental prerequisite for performing statistical shape analysis on a set of different objects is the identification of corresponding points on their associated surfaces. This problem is particularly difficult to solve if the shapes stem from different individuals. The reason lies in the basic difficulty of defining suitable measures of similarity. In this thesis, we divide the correspondence problem into feature and non-feature matching. The feature part depends on the application, while the non-feature part can be characterized by a purely geometric description. We propose two different approaches. The first approach has proved useful in many applications. Yet, it suffers from some practical limitations and does not yield a measure of similarity. Our second, variational, approach is designed to overcome these limitations. In it, we propose to minimize an invariant stretching measure, constrained by previously computed features. An important property, which sets our method apart from previous work, is that it does not require the computation of a global surface parameterization. KW - correspondence problem KW - surface matching KW - image segmentation KW - model-based shape reconstruction KW - 2d-3d shape reconstruction Y1 - 2008 UR - http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000005805 ER -