TY - CHAP A1 - Pfister, Hanspeter A1 - Kaynig, Verena A1 - Botha, Charl P. A1 - Bruckner, Stefan A1 - Dercksen, Vincent J. A1 - Hege, Hans-Christian A1 - Roerdink, Jos B.T.M. ED - Hansen, Charles D. ED - Chen, Min ED - Johnson, Christopher R. ED - Kaufman, Arie E. ED - Hagen, Hans T1 - Visualization in Connectomics T2 - Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization N2 - Connectomics is a branch of neuroscience that attempts to create a connectome, i.e., a complete map of the neuronal system and all connections between neuronal structures. This representation can be used to understand how functional brain states emerge from their underlying anatomical structures and how dysfunction and neuronal diseases arise. We review the current state-of-the-art of visualization and image processing techniques in the field of connectomics and describe a number of challenges. After a brief summary of the biological background and an overview of relevant imaging modalities, we review current techniques to extract connectivity information from image data at macro-, meso- and microscales. We also discuss data integration and neural network modeling, as well as the visualization, analysis and comparison of brain networks. Y1 - 2014 SN - 978-1-4471-6496-8 U6 - https://doi.org/10.1007/978-1-4471-6497-5_21 SP - 221 EP - 245 PB - Springer ER - TY - BOOK A1 - Hege, Hans-Christian A1 - (Eds.), Konrad T1 - Visualization and Mathematics - Experiments, Simulations and Environments Y1 - 1997 SN - ISBN 3-540-61269-6 PB - Springer-Verlag, Berlin/Heidelberg ER - TY - CHAP A1 - Stalling, Detlev A1 - Hege, Hans-Christian A1 - Höllerer, Tobias T1 - Visualization and 3D-Interaction for Hyperthermia Treatment Planning T2 - Proc. CAR 95 Computer Assisted Radiology, 9th International Symposium and Exhibition Y1 - 1995 SP - 1216 EP - 1222 CY - Berlin ER - TY - GEN A1 - Polthier, Konrad A1 - Sullivan, John A1 - Ziegler, Günter M. A1 - Hege, Hans-Christian ED - Deuflhard, Peter ED - et al., T1 - Visualization T2 - MATHEON - Mathematics for Key Technologies Y1 - 2014 SN - 978-3-03719-137-8 U6 - https://doi.org/10.4171/137 SP - 335 EP - 339 PB - European Mathematical Society ER - TY - JOUR A1 - Zachow, Stefan A1 - Muigg, Philipp A1 - Hildebrandt, Thomas A1 - Doleisch, Helmut A1 - Hege, Hans-Christian T1 - Visual Exploration of Nasal Airflow JF - IEEE Transactions on Visualization and Computer Graphics Y1 - 2009 U6 - https://doi.org/10.1109/TVCG.2009.198 VL - 15 IS - 8 SP - 1407 EP - 1414 ER - TY - JOUR A1 - Prohaska, Steffen A1 - Hege, Hans-Christian A1 - Giehl, Michael A1 - Gowin, Wolfgang T1 - Visual Analysis of Trabecular Bone Structure JF - Journal of Gravitational Physiology Y1 - 2002 VL - 9 (1) SP - 171 EP - 172 ER - TY - JOUR A1 - Hege, Hans-Christian A1 - Koppitz, Michael A1 - Marquardt, Falko A1 - McDonald, Chris A1 - Mielack, Christopher T1 - Visual Analysis of Quantum Physics Data JF - Quantum Dynamic Imaging Y1 - 2011 U6 - https://doi.org/10.1007/978-1-4419-9491-2_6 SP - 71 EP - 87 PB - Springer ER - TY - CHAP A1 - Hege, Hans-Christian T1 - Visual analysis of molecular dynamics data using geometric and topological methods T2 - Forum "Math for Industry" 2014 Y1 - 2014 VL - 57 SP - 45 EP - 46 PB - Institute of Mathematics for Industry, Kyushu University CY - Fukuoka, Japan ER - TY - CHAP A1 - Schmidt-Ehrenberg, Johannes A1 - Hege, Hans-Christian T1 - Visual analysis of molecular conformations by means of a dynamic density mixture model T2 - Computational Life Sciences: First International Symposium, CompLife 2005 Y1 - 2005 VL - 3695 SP - 229 EP - 240 PB - Springer CY - Konstanz, Germany ER - TY - GEN A1 - Krone, Michael A1 - Kozlikova, Barbora A1 - Lindow, Norbert A1 - Baaden, Marc A1 - Baum, Daniel A1 - Parulek, Julius A1 - Hege, Hans-Christian A1 - Viola, Ivan T1 - Visual Analysis of Biomolecular Cavities: State of the Art N2 - In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field. T3 - ZIB-Report - 16-42 Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-60193 SN - 1438-0064 ER -