@inproceedings{StallingHege1995, author = {Stalling, Detlev and Hege, Hans-Christian}, title = {Fast and Resolution-Independent Line Integral Convolution}, booktitle = {Proceedings of SIGGRAPH '95}, publisher = {Computer Graphics Annual Conference Series, ACM SIGGRAPH}, address = {Los Angeles, California}, doi = {10.1145/218380.218448}, pages = {249 -- 256}, year = {1995}, language = {en} } @article{SeebassWustGellermannetal.1995, author = {Seebaß, Martin and Wust, Peter and Gellermann, Johanna and Stalling, Detlev and Nadobny, Jacek and Felix, Roland}, title = {Dreidimensionale Simulation der nicht-invasiven Radiowellen-Hyperthermie}, volume = {6}, journal = {Minimal Invasive Medizin}, number = {1}, pages = {29 -- 35}, year = {1995}, language = {en} } @inproceedings{StallingHege1995, author = {Stalling, Detlev and Hege, Hans-Christian}, title = {Design and Implementation of a Hyperthermia Planning System}, booktitle = {Tagungsband zum 4. Freiburger Workshop Digitale Bildverarbeitung in der Medizin}, address = {Freiburg/Breisgau}, year = {1995}, language = {en} } @inproceedings{GellermannWustStallingetal.1995, author = {Gellermann, Johanna and Wust, Peter and Stalling, Detlev and Felix, Roland}, title = {Optimisation Strategies in Hyperthermia Planning Compared with those Used in Radiotherapy Planning}, booktitle = {Proc. CAR 95 Computer Assisted Radiology}, address = {Berlin}, pages = {1083 -- 1087}, year = {1995}, language = {en} } @inproceedings{StallingHegeHoellerer1995, author = {Stalling, Detlev and Hege, Hans-Christian and H{\"o}llerer, Tobias}, title = {Visualization and 3D-Interaction for Hyperthermia Treatment Planning}, booktitle = {Proc. CAR 95 Computer Assisted Radiology, 9th International Symposium and Exhibition}, address = {Berlin}, pages = {1216 -- 1222}, year = {1995}, language = {en} } @article{Limbach1995, author = {Limbach, Daniel}, title = {Parallel MPEG-Encoder for Real-Time Online Encoding}, journal = {SuParCup95 Adward Contribution 2nd Student Price, Supercomputer Seminar}, address = {Mannheim}, year = {1995}, language = {en} } @article{HashimotoHege1993, author = {Hashimoto, T. and Hege, Hans-Christian}, title = {Monte Carlo Renormalization Study at Large beta in the Confinement Region}, volume = {30}, journal = {Nuclear Phys. B. Proc. Suppl.}, doi = {10.1016/0920-5632(93)90263-6}, pages = {517 -- 520}, year = {1993}, language = {en} } @misc{WunderlingHege1992, author = {Wunderling, Roland and Hege, Hans-Christian}, title = {AGIL - the Adaptable Graphical Interface Layer, Programmierer-Handbuch}, publisher = {Interner Report, Konrad-Zuse-Zentrum f{\"u}r Informationstechnik Berlin (ZIB), Germany}, pages = {34pp.}, year = {1992}, language = {en} } @article{HegeKnecht1992, author = {Hege, Hans-Christian and Knecht, Renate}, title = {Conference Report: Parallel Computing 91}, volume = {18}, journal = {Parallel Computing}, number = {4}, pages = {473 -- 476}, year = {1992}, language = {en} } @article{HashimotoHege1992, author = {Hashimoto, T. and Hege, Hans-Christian}, title = {Hadron Spectroscopy on a 32^3 * 48 Lattice}, journal = {Nucl. Phys. B Proc. Suppl. 26}, doi = {10.1016/0920-5632(92)90257-S}, pages = {293 -- 295}, year = {1992}, language = {en} } @article{AkemiForcrandFujisakietal.1992, author = {Akemi, K. and Forcrand, Ph. de and Fujisaki, M. and Hashimoto, T. and Hege, Hans-Christian and Hioki, S. and Makino, J. and Miyamura, O. and Nakamura, A. and Okuda, M. and Stamatescu, I. O. and Tago, Yoshio and Takaishi, T.}, title = {SU(3) Renormalization Group Study on Parallel Computer AP 1000}, journal = {Nucl. Phys. B Proc. Suppl. 26}, doi = {10.1016/0920-5632(92)90293-2}, pages = {420 -- 422}, year = {1992}, language = {en} } @article{AkemiForcrandFujisakietal.1992, author = {Akemi, K. and Forcrand, Ph. de and Fujisaki, M. and Hashimoto, T. and Hege, Hans-Christian and Hioki, S. and Makino, J. and Miyamura, O. and Nakamura, A. and Okuda, M. and Stamatescu, I. O. and Tago, Yoshio and Takaishi, T.}, title = {QCD on the Highly Parallel Computer AP 1000}, journal = {Nucl. Phys. B Proc. Suppl. 26}, doi = {10.1016/0920-5632(92)90358-Y}, pages = {644 -- 646}, year = {1992}, language = {en} } @inproceedings{HegeStueben1991, author = {Hege, Hans-Christian and St{\"u}ben, Hinnerk}, title = {Vectorization and Parallelization of Irregular Problems via Graph Coloring}, booktitle = {Proc. of the ACM Int. Conf. on Supercomputing}, address = {Cologne}, doi = {10.1145/109025.109042}, pages = {47 -- 56}, year = {1991}, language = {en} } @misc{Lange2012, type = {Master Thesis}, author = {Lange, Martin}, title = {Shadow Volumes f{\"u}r dynamische Dreiecksnetze auf CPU und GPU}, year = {2012}, language = {en} } @misc{Tenbusch2012, type = {Master Thesis}, author = {Tenbusch, Tobias}, title = {Rendering von Partikeleffekten in einem Deferred Renderer}, year = {2012}, language = {en} } @misc{Papazov2007, type = {Master Thesis}, author = {Papazov, Chavdar}, title = {Morphing zwischen triangulierten Nicht-Mannigfaltigkeiten unter Ber{\"u}cksichtigung topologischer {\"A}nderungen}, year = {2007}, language = {en} } @misc{Zilske2007, type = {Master Thesis}, author = {Zilske, Michael}, title = {Adaptive remeshing of non-manifold triangulations}, year = {2007}, language = {en} } @misc{Schudoma2006, type = {Master Thesis}, author = {Schudoma, Christian}, title = {A Fragment Based Approach to RNA Threading}, year = {2006}, language = {en} } @misc{Beckmann2006, type = {Master Thesis}, author = {Beckmann, Philipp}, title = {Consistent Cell-Decomposition of Homeomorphic Simplicial Surfaces}, year = {2006}, language = {en} } @misc{Clasen2005, type = {Master Thesis}, author = {Clasen, Malte}, title = {Beleuchtung von Landschaften in interaktiver Darstellung}, year = {2005}, language = {en} } @phdthesis{Zachow2005, author = {Zachow, Stefan}, title = {Computer assisted osteotomy planning in cranio-maxillofacial surgery under consideration of facial soft tissue changes}, year = {2005}, language = {en} } @misc{Wenckebach2004, author = {Wenckebach, Thomas}, title = {Das Korrespondenzproblem f{\"u}r Statistische 3D-Formmodelle in biomedizinischen Anwendungen}, year = {2004}, language = {en} } @misc{Wenckebach2004, type = {Master Thesis}, author = {Wenckebach, Thomas}, title = {Volumetrische Registrierung zur medizinischen Bildanalyse}, year = {2004}, language = {en} } @misc{Schudoma2004, type = {Master Thesis}, author = {Schudoma, Christian}, title = {Application of a Combined Sequence and Structure Alignment for RNA 3D Modeling}, year = {2004}, language = {en} } @misc{Baumeister2004, type = {Master Thesis}, author = {Baumeister, Timm}, title = {Modellierung der freien Solvatisierungsenthalpie und Anwendung als Scoringfunktion}, year = {2004}, language = {en} } @phdthesis{Benger2004, author = {Benger, Werner}, title = {Visualization of General Relativistic Tensor Fields via a Fiber Bundle Data Model}, year = {2004}, language = {en} } @misc{AdolfsonHelgesson2004, type = {Master Thesis}, author = {Adolfson, Jon and Helgesson, Johan}, title = {Generation of Smooth Non-Manifold Surfaces from Segmented Image Data}, year = {2004}, language = {en} } @phdthesis{neeZoeckler2003, author = {(n{\´e}e Z{\"o}ckler), Malte}, title = {Efficient Visualization and Reconstruction of 3D Geometric from Neuro-Biological Confocal Microscope Scans}, year = {2003}, language = {en} } @misc{Trepczynski2002, type = {Master Thesis}, author = {Trepczynski, Adam}, title = {Schnittmodellierung auf triangulierten Polygonoberfl{\"a}chen}, year = {2002}, language = {en} } @misc{Sander2001, type = {Master Thesis}, author = {Sander, Oliver}, title = {Constructing Boundary and Interface Parametrizations for Finite Element Solvers}, year = {2001}, language = {en} } @misc{Zaharescu2001, type = {Master Thesis}, author = {Zaharescu, Valentin-Florian}, title = {Semi-automatic Volume Slices Alignment for 3D Reconstruction and Analysis}, year = {2001}, language = {en} } @misc{Coconu2001, type = {Master Thesis}, author = {Coconu, Liviu}, title = {Semi-automatic Segmentation of Bronchoscopic Images}, year = {2001}, language = {en} } @misc{Westerhoff1999, type = {Master Thesis}, author = {Westerhoff, Natascha}, title = {Geometrische Methoden zur 3D-Segmentierung}, year = {1999}, language = {en} } @misc{Preis2012, type = {Master Thesis}, author = {Preis, Philipp}, title = {Sichtbarkeitsorientiertes Picking in Direct Volume Renderings mit Beleuchtungsmodellen}, year = {2012}, language = {en} } @misc{Malinowski2012, type = {Master Thesis}, author = {Malinowski, Jana}, title = {Ein kontinuierliches Optimierungsverfahren f{\"u}r die Segmentierung medizinischer Bilddaten mit Hilfe von Formmodellen}, year = {2012}, language = {en} } @misc{Nguyen2012, type = {Master Thesis}, author = {Nguyen, The Duy}, title = {Automatic segmentation for dental operation planning}, year = {2012}, language = {en} } @misc{Orgiu2012, type = {Master Thesis}, author = {Orgiu, Sara}, title = {Automatic liver segmentation in contrast enhanced CT data using 3D free-form deformation based on optimal graph searching}, year = {2012}, language = {en} } @masterthesis{Ruben2012, type = {Bachelor Thesis}, author = {Ruben, Karl}, title = {Kugelpackungen in arbitr{\"a}r geformten Volumina}, year = {2012}, language = {en} } @masterthesis{Surma2012, type = {Bachelor Thesis}, author = {Surma, Alexander}, title = {Automatisierte Registrierung von 2D-Daten in 3-dimensionalen Volumen mit Hilfe von ZIBAmira}, year = {2012}, language = {en} } @misc{Ehlke2012, type = {Master Thesis}, author = {Ehlke, Moritz}, title = {Simulating X-ray images from deformable shape and intensity models on the GPU}, year = {2012}, language = {en} } @misc{Kahnt2012, type = {Master Thesis}, author = {Kahnt, Max}, title = {Generation of constrained high-quality multi-material tetrahedral meshes}, year = {2012}, language = {en} } @phdthesis{Kasten2012, author = {Kasten, Jens}, title = {Lagrangian feature extraction in two-dimensional unsteady flows}, year = {2012}, language = {en} } @phdthesis{Reininghaus2012, author = {Reininghaus, Jan}, title = {Computational discrete Morse theory}, year = {2012}, language = {en} } @misc{Winkler2009, type = {Master Thesis}, author = {Winkler, Charlotte}, title = {Graph-Cut Segmentation for 3D Single-Plane Illumination Microscopy Images}, year = {2009}, language = {en} } @masterthesis{vandenBruck2009, type = {Bachelor Thesis}, author = {van den Bruck, Nils}, title = {Techniken zur Artefaktreduktion f{\"u}r GPU-basiertes Ray Casting}, year = {2009}, language = {en} } @misc{Gensel2009, type = {Master Thesis}, author = {Gensel, Maria}, title = {Visualisierungsmethoden zur Verdeutlichung der r{\"a}umlichen Beziehungen zwischen linien- und fl{\"a}chenartigen Strukturen am Beispiel neurobiologischer Daten}, year = {2009}, language = {en} } @phdthesis{Sahner2009, author = {Sahner, Jan}, title = {Extraction of Vortex Structures in 3D Flow Fields}, year = {2009}, language = {en} } @masterthesis{Lienhard2008, type = {Bachelor Thesis}, author = {Lienhard, Matthias}, title = {Aufbau und Analyse eines statistischen Formmodells des Gehirns der Honigbiene Apis Mellifera}, year = {2008}, language = {en} } @masterthesis{Singer2008, type = {Bachelor Thesis}, author = {Singer, Jochen}, title = {Entwicklung einer Anpassungsstrategie zur Autosegmentierung des Gehirns der Honigbiene Apis mellifera mittels eines statistischen Formmodells}, year = {2008}, language = {en} } @misc{Wade2008, type = {Master Thesis}, author = {Wade, Moritz}, title = {Automatic Textbook-Like Layout of Biological Networks}, year = {2008}, language = {en} } @misc{Weber2008, type = {Master Thesis}, author = {Weber, Britta}, title = {Merkmalskurven auf triangulierten Oberfl{\"a}chen}, year = {2008}, language = {en} } @phdthesis{Weinkauf2008, author = {Weinkauf, Tino}, title = {Extraction of Topological Structures in 2D and 3D Vector Fields}, year = {2008}, language = {en} } @phdthesis{SchmidtEhrenberg2008, author = {Schmidt-Ehrenberg, Johannes}, title = {Analysis and Visualization of Molecular Conformations}, year = {2008}, language = {en} } @misc{Kettlitz2011, type = {Master Thesis}, author = {Kettlitz, Nino}, title = {Anisotropes Sampling in der Tensorfeldvisualisierung}, year = {2011}, language = {de} } @masterthesis{Retzlaff2011, type = {Bachelor Thesis}, author = {Retzlaff, Michelle}, title = {Brushing and Linking Methods by the Example of Tensor Visualization}, year = {2011}, language = {en} } @misc{Seidel2011, type = {Master Thesis}, author = {Seidel, Paul}, title = {Interaktive Visualisierung und Filterung großer Volumendaten mittels Volumenrendering}, year = {2011}, language = {en} } @misc{Schuberth2011, type = {Master Thesis}, author = {Schuberth, Sebastian}, title = {High-Performance Tomographic Reconstruction using OpenCL}, year = {2011}, language = {en} } @misc{Wittmers2011, type = {Master Thesis}, author = {Wittmers, Antonia}, title = {Ein Werkzeug zur Erzeugung konsistenter Netze auf triangulierten Oberfl{\"a}chen}, year = {2011}, language = {en} } @misc{Zobel2010, type = {Master Thesis}, author = {Zobel, Valentin}, title = {Spectral Analysis of the Hodge Laplacian on Discrete Manifolds}, year = {2010}, language = {en} } @misc{Lindow2010, type = {Master Thesis}, author = {Lindow, Norbert}, title = {Dynamische Molek{\"u}loberfl{\"a}chen}, year = {2010}, language = {de} } @misc{Nietfeld2010, type = {Master Thesis}, author = {Nietfeld, Jan}, title = {Oberfl{\"a}chenrekonstruktion aus nicht-parallelen Konturdaten}, year = {2010}, language = {en} } @misc{Loewen2009, type = {Master Thesis}, author = {L{\"o}wen, Christian}, title = {Parallele Berechnung kombinatorischer Vektorfelder mit CUDA}, year = {2009}, language = {de} } @misc{Brenner1996, type = {Master Thesis}, author = {Brenner, Thomas}, title = {Volume Rendering - Ein Projektionsansatz f{\"u}r den Cray T3D}, year = {1996}, language = {en} } @misc{Battke1996, type = {Master Thesis}, author = {Battke, Henrik}, title = {Entwicklung textur-basierter Verfahren zur Vektorfeldvisualisierung}, year = {1996}, language = {en} } @misc{Anders1996, type = {Master Thesis}, author = {Anders, Thomas}, title = {Effiziente Algorihmen zur Isofl{\"a}chengenerierung aus Volumendaten}, year = {1996}, language = {en} } @misc{Hoellerer1995, type = {Master Thesis}, author = {H{\"o}llerer, Tobias}, title = {Volume Rendering auf irregul{\"a}ren Gittern - Theorie und Implementierung}, year = {1995}, language = {en} } @book{OPUS4-4173, title = {Visualization and Mathematics}, journal = {Book Series}, editor = {Hege, Hans-Christian}, publisher = {Springer-Verlag}, year = {2010}, language = {en} } @book{OPUS4-4174, title = {VideoMath}, journal = {Video Series}, editor = {Hege, Hans-Christian}, publisher = {Springer-Verlag}, year = {2010}, language = {en} } @misc{OPUS4-4175, title = {Volume Graphics and Point-Based Graphics}, editor = {Hege, Hans-Christian and Machiraju, Raghu and Laidlaw, David}, year = {2010}, language = {en} } @book{OPUS4-4176, title = {EuroVis 2009}, editor = {Hege, Hans-Christian and Hotz, Ingrid and Munzner, Tamara}, publisher = {Blackwell Publishing}, year = {2009}, language = {en} } @book{OPUS4-4177, title = {Topology-based Methods in Visualization II}, journal = {Mathematics and Visualization}, editor = {Scheuermann, Gerik and Hege, Hans-Christian and Polthier, Konrad}, publisher = {Springer}, isbn = {978-3-540-88605-1}, year = {2009}, language = {en} } @book{OPUS4-4178, title = {Volume and Point-Based Graphics 2008}, editor = {Hege, Hans-Christian and Laidlaw, David and Pajarola, Renato and Staadt, Oliver}, publisher = {Eurographics Association}, isbn = {978-3-905674-12-5}, year = {2008}, language = {en} } @misc{EhlkeRammLameckeretal.2012, author = {Ehlke, Moritz and Ramm, Heiko and Lamecker, Hans and Zachow, Stefan}, title = {Efficient projection and deformation of volumetric intensity models for accurate simulation of X-ray images}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-16580}, year = {2012}, abstract = {We present an efficient GPU-based method to generate virtual X-ray images from tetrahedral meshes which are associated with attenuation values. In addition, a novel approach is proposed that performs the model deformation on the GPU. The tetrahedral grids are derived from volumetric statistical shape and intensity models (SSIMs) and describe anatomical structures. Our research targets at reconstructing 3D anatomical shapes by comparing virtual X-ray images generated using our novel approach with clinical data while varying the shape and density of the SSIM in an optimization process. We assume that a deformed SSIM adequately represents an anatomy of interest when the similarity between the virtual and the clinical X-ray image is maximized. The OpenGL implementation presented here generates accurate (virtual) X-ray images at interactive rates, thus qualifying it for its use in the reconstruction process.}, language = {en} } @phdthesis{Kratz2013, author = {Kratz, Andrea}, title = {Three-Dimensional Second-Order Tensor Fields: Exploratory Visualization and Anisotropic Sampling}, school = {Freie Universit{\"a}t Berlin}, pages = {XIV, 157 S.}, year = {2013}, abstract = {Tensors provide a powerful mathematical language to describe physical phenomena. Consequently, they have a long tradition in physics and appear in various application areas, either as intermediate product or as output of simulations or measurements. The potential of tensors to describe complex anisotropic behavior, however, concurrently complicates their interpretation. The central research question of this thesis is how three-dimensional tensor fields of second order are visualized effectively so that, as a long term goal, their interpretation becomes easier. The focus of this thesis lies on the class of indefinite tensors. The methods that are proposed in this thesis fall into two main categories: (1.) the interactive exploration of the three-dimensional tensor data, and (2.) the geometric reduction of the data to two-dimensional planes or triangulated surfaces. In both cases, possible visualization approaches are presented. For interactive exploration of the data, we propose to combine diagram views with three-dimensional hybrid visualizations. We show that this facilitates familiarizing with the data and leads to exciting analytic queries. If a geometric data reduction is possible, we focus on glyph- and texture-based methods. In this context, the thesis is concerned with methods to improve their quality. Therefore, we propose two algorithms for the efficient creation of anisotropic sample distributions. Moreover, we present a novel visualization method that works on planar slices as well as on triangulated surfaces. The basic idea of this method is to use anisotropic sample distributions for the efficient computation of anisotropic Voronoi cells, which then are used as base elements for texture mapping. Hence, the usage of textures to encode the tensor's various degrees of freedom becomes possible. We evaluate our methods for the interactive exploration on stress tensor fields from structure simulations. To show the ffectiveness of novel visualization methods, various datasets are presented.}, language = {en} } @misc{WiebelMuellerGarthetal.2014, author = {Wiebel, Alexander and M{\"u}ller, Cornelius and Garth, Christoph and Kn{\"o}sche, Thomas}, title = {A System for Combined Visualization of EEG and Diffusion Tensor Imaging Tractography Data}, journal = {Visualization and Processing of Tensors and Higher-Order Descriptors for Multi-field Data}, editor = {Westin, Carl-Frederic and Burgeth, Bernhard and Vilanova, Anna}, publisher = {Springer}, pages = {325 -- 337}, year = {2014}, language = {en} } @misc{RammMorilloVictoriaTodtetal.2013, author = {Ramm, Heiko and Morillo Victoria, Oscar Salvador and Todt, Ingo and Schirmacher, Hartmut and Ernst, Arneborg and Zachow, Stefan and Lamecker, Hans}, title = {Visual Support for Positioning Hearing Implants}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-42495}, year = {2013}, abstract = {We present a software planning tool that provides intuitive visual feedback for finding suitable positions of hearing implants in the human temporal bone. After an automatic reconstruction of the temporal bone anatomy the tool pre-positions the implant and allows the user to adjust its position interactively with simple 2D dragging and rotation operations on the bone's surface. During this procedure, visual elements like warning labels on the implant or color encoded bone density information on the bone geometry provide guidance for the determination of a suitable fit.}, language = {en} } @misc{HombergBaumWiebeletal.2013, author = {Homberg, Ulrike and Baum, Daniel and Wiebel, Alexander and Prohaska, Steffen and Hege, Hans-Christian}, title = {Definition, Extraction, and Validation of Pore Structures in Porous Materials}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-42510}, year = {2013}, abstract = {An intuitive and sparse representation of the void space of porous materials supports the efficient analysis and visualization of interesting qualitative and quantitative parameters of such materials. We introduce definitions of the elements of this void space, here called pore space, based on its distance function, and present methods to extract these elements using the extremal structures of the distance function. The presented methods are implemented by an image processing pipeline that determines pore centers, pore paths and pore constrictions. These pore space elements build a graph that represents the topology of the pore space in a compact way. The representations we derive from μCT image data of realistic soil specimens enable the computation of many statistical parameters and, thus, provide a basis for further visual analysis and application-specific developments. We introduced parts of our pipeline in previous work. In this chapter, we present additional details and compare our results with the analytic computation of the pore space elements for a sphere packing in order to show the correctness of our graph computation.}, language = {en} } @misc{KuhnEngelkeRoessletal.2013, author = {Kuhn, Alexander and Engelke, Wito and R{\"o}ssl, Christian and Hadwiger, Markus and Theisel, Holger}, title = {Time Line Cell Tracking for the Approximation of Lagrangian Coherent Structures with Subgrid Accuracy}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-43050}, year = {2013}, abstract = {Lagrangian Coherent Structures (LCS) have become a widespread and powerful method to describe dynamic motion patterns in time-dependent flow fields. The standard way to extract LCS is to compute height ridges in the Finite Time Lyapunov Exponent (FTLE) field. In this work, we present an alternative method to approximate Lagrangian features for 2D unsteady flow fields that achieves subgrid accuracy without additional particle sampling. We obtain this by a geometric reconstruction of the flow map using additional material constraints for the available samples. In comparison to the standard method, this allows for a more accurate global approximation of LCS on sparse grids and for long integration intervals. The proposed algorithm works directly on a set of given particle trajectories and without additional flow map derivatives. We demonstrate its application for a set of computational fluid dynamic examples, as well as trajectories acquired by Lagrangian methods, and discuss its benefits and limitations.}, language = {en} } @misc{DercksenHegeOberlaender2013, author = {Dercksen, Vincent J. and Hege, Hans-Christian and Oberlaender, Marcel}, title = {The Filament Editor: An Interactive Software Environment for Visualization, Proof-Editing and Analysis of 3D Neuron Morphology}, issn = {1438-0064}, doi = {10.1007/s12021-013-9213-2}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-43157}, year = {2013}, abstract = {Neuroanatomical analysis, such as classification of cell types, depends on reliable reconstruction of large numbers of complete 3D dendrite and axon morphologies. At present, the majority of neuron reconstructions are obtained from preparations in a single tissue slice in vitro, thus suffering from cut off dendrites and, more dramatically, cut off axons. In general, axons can innervate volumes of several cubic millimeters and may reach path lengths of tens of centimeters. Thus, their complete reconstruction requires in vivo labeling, histological sectioning and imaging of large fields of view. Unfortunately, anisotropic background conditions across such large tissue volumes, as well as faintly labeled thin neurites, result in incomplete or erroneous automated tracings and even lead experts to make annotation errors during manual reconstructions. Consequently, tracing reliability renders the major bottleneck for reconstructing complete 3D neuron morphologies. Here, we present a novel set of tools, integrated into a software environment named 'Filament Editor', for creating reliable neuron tracings from sparsely labeled in vivo datasets. The Filament Editor allows for simultaneous visualization of complex neuronal tracings and image data in a 3D viewer, proof-editing of neuronal tracings, alignment and interconnection across sections, and morphometric analysis in relation to 3D anatomical reference structures. We illustrate the functionality of the Filament Editor on the example of in vivo labeled axons and demonstrate that for the exemplary dataset the final tracing results after proof-editing are independent of the expertise of the human operator.}, language = {en} } @article{DercksenHegeOberlaender2014, author = {Dercksen, Vincent J. and Hege, Hans-Christian and Oberlaender, Marcel}, title = {The Filament Editor: An Interactive Software Environment for Visualization, Proof-Editing and Analysis of 3D Neuron Morphology}, volume = {12}, journal = {NeuroInformatics}, number = {2}, publisher = {Springer US}, doi = {10.1007/s12021-013-9213-2}, pages = {325 -- 339}, year = {2014}, language = {en} } @misc{EggerDercksenKocketal.2014, author = {Egger, Robert and Dercksen, Vincent J. and Kock, Christiaan P.J. and Oberlaender, Marcel}, title = {Reverse Engineering the 3D Structure and Sensory-Evoked Signal Flow of Rat Vibrissal Cortex}, volume = {11}, journal = {The Computing Dendrite}, editor = {Cuntz, Hermann and Remme, Michiel W.H. and Torben-Nielsen, Benjamin}, publisher = {Springer}, address = {New York}, doi = {10.1007/978-1-4614-8094-5_8}, pages = {127 -- 145}, year = {2014}, language = {en} } @incollection{HlawitschkaHotzKratzetal.2014, author = {Hlawitschka, Mario and Hotz, Ingrid and Kratz, Andrea and Marai, G. Elisabeta and Moreno, Rodrigo and Scheuermann, Gerik and Stommel, Markus and Wiebel, Alexander and Zhang, Eugene}, title = {Top Challenges in the Visualization of Engineering Tensor Fields}, booktitle = {Visualization and Processing of Tensors and Higher-Order Descriptors for Multi-Field Data}, editor = {Westin, Carl-Frederic and Burgeth, Bernhard and Vilanova, Anna}, publisher = {Springer}, pages = {3 -- 15}, year = {2014}, language = {en} } @article{HochWesselAscheetal.2014, author = {Hoch, Hannelore and Wessel, Andreas and Asche, Manfred and Baum, Daniel and Beckmann, Felix and Br{\"a}unig, Peter and Ehrig, Karsten and M{\"u}hlethaler, Roland and Riesemeier, Heinrich and Staude, Andreas and Stelbrink, Bj{\"o}rn and Wachmann, Ekkehard and Weintraub, Phyllis and Wipfler, Benjamin and Wolff, Carsten and Zilch, Mathias}, title = {Non-Sexual Abdominal Appendages in Adult Insects Challenge a 300 Million Year Old Bauplan}, volume = {24}, journal = {Current Biology}, number = {1}, doi = {10.1016/j.cub.2013.11.040}, pages = {R16 -- R17}, year = {2014}, language = {en} } @article{ConradGenzelCvetkovicetal.2017, author = {Conrad, Tim and Genzel, Martin and Cvetkovic, Nada and Wulkow, Niklas and Vybiral, Jan and Kutyniok, Gitta and Sch{\"u}tte, Christof}, title = {Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data}, volume = {18}, journal = {BMC Bioinformatics}, number = {160}, doi = {10.1186/s12859-017-1565-4}, pages = {1 -- 20}, year = {2017}, abstract = {Motivation: High-throughput proteomics techniques, such as mass spectrometry (MS)-based approaches, produce very high-dimensional data-sets. In a clinical setting one is often interested how MS spectra dier between patients of different classes, for example spectra from healthy patients vs. spectra from patients having a particular disease. Machine learning algorithms are needed to (a) identify these discriminating features and (b) classify unknown spectra based on this feature set. Since the acquired data is usually noisy, the algorithms should be robust to noise and outliers, and the identied feature set should be as small as possible. Results: We present a new algorithm, Sparse Proteomics Analysis (SPA), based on the theory of Compressed Sensing that allows to identify a minimal discriminating set of features from mass spectrometry data-sets. We show how our method performs on artificial and real-world data-sets.}, language = {en} } @article{SeeberConradHoppeetal.2017, author = {Seeber, L. and Conrad, Tim and Hoppe, Christian and Obermeier, Patrick and Chen, X. and Karsch, K. and Muehlhans, S. and Tief, Franziska and Boettcher, Sindy and Diedrich, S. and Schweiger, Brunhilde and Rath, Barbara}, title = {Educating parents about the vaccination status of their children: A user-centered mobile application}, volume = {5}, journal = {Preventive Medicine Reports}, doi = {10.1016/j.pmedr.2017.01.002}, pages = {241 -- 250}, year = {2017}, abstract = {Parents are often uncertain about the vaccination status of their children. In times of vaccine hesitancy, vaccination programs could benefit from active patient participation. The Vaccination App (VAccApp) was developed by the Vienna Vaccine Safety Initiative, enabling parents to learn about the vaccination status of their children, including 25 different routine, special indication and travel vaccines listed in the WHO Immunization Certificate of Vaccination (WHO-ICV). Between 2012 and 2014, the VAccApp was validated in a hospital-based quality management program in Berlin, Germany, in collaboration with the Robert Koch Institute. Parents of 178 children were asked to transfer the immunization data of their children from the WHO-ICV into the VAccApp. The respective WHO-ICV was photocopied for independent, professional data entry (gold standard). Demonstrating the status quo in vaccine information reporting, a Recall Group of 278 parents underwent structured interviews for verbal immunization histories, without the respective WHO-ICV. Only 9\% of the Recall Group were able to provide a complete vaccination status; on average 39\% of the questions were answered correctly. Using the WHO-ICV with the help of the VAccApp resulted in 62\% of parents providing a complete vaccination status; on average 95\% of the questions were answered correctly. After using the VAccApp, parents were more likely to remember key aspects of the vaccination history. User-friendly mobile applications empower parents to take a closer look at the vaccination record, thereby taking an active role in providing accurate vaccination histories. Parents may become motivated to ask informed questions and to keep vaccinations up-to-date.}, language = {en} } @misc{AmbellanLameckervonTycowiczetal.2019, author = {Ambellan, Felix and Lamecker, Hans and von Tycowicz, Christoph and Zachow, Stefan}, title = {Statistical Shape Models - Understanding and Mastering Variation in Anatomy}, issn = {1438-0064}, doi = {10.1007/978-3-030-19385-0_5}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-72699}, year = {2019}, abstract = {In our chapter we are describing how to reconstruct three-dimensional anatomy from medical image data and how to build Statistical 3D Shape Models out of many such reconstructions yielding a new kind of anatomy that not only allows quantitative analysis of anatomical variation but also a visual exploration and educational visualization. Future digital anatomy atlases will not only show a static (average) anatomy but also its normal or pathological variation in three or even four dimensions, hence, illustrating growth and/or disease progression. Statistical Shape Models (SSMs) are geometric models that describe a collection of semantically similar objects in a very compact way. SSMs represent an average shape of many three-dimensional objects as well as their variation in shape. The creation of SSMs requires a correspondence mapping, which can be achieved e.g. by parameterization with a respective sampling. If a corresponding parameterization over all shapes can be established, variation between individual shape characteristics can be mathematically investigated. We will explain what Statistical Shape Models are and how they are constructed. Extensions of Statistical Shape Models will be motivated for articulated coupled structures. In addition to shape also the appearance of objects will be integrated into the concept. Appearance is a visual feature independent of shape that depends on observers or imaging techniques. Typical appearances are for instance the color and intensity of a visual surface of an object under particular lighting conditions, or measurements of material properties with computed tomography (CT) or magnetic resonance imaging (MRI). A combination of (articulated) statistical shape models with statistical models of appearance lead to articulated Statistical Shape and Appearance Models (a-SSAMs).After giving various examples of SSMs for human organs, skeletal structures, faces, and bodies, we will shortly describe clinical applications where such models have been successfully employed. Statistical Shape Models are the foundation for the analysis of anatomical cohort data, where characteristic shapes are correlated to demographic or epidemiologic data. SSMs consisting of several thousands of objects offer, in combination with statistical methods ormachine learning techniques, the possibility to identify characteristic clusters, thus being the foundation for advanced diagnostic disease scoring.}, language = {en} } @misc{AmbellanTackEhlkeetal.2019, author = {Ambellan, Felix and Tack, Alexander and Ehlke, Moritz and Zachow, Stefan}, title = {Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-72704}, year = {2019}, abstract = {We present a method for the automated segmentation of knee bones and cartilage from magnetic resonance imaging (MRI) that combines a priori knowledge of anatomical shape with Convolutional Neural Networks (CNNs).The proposed approach incorporates 3D Statistical Shape Models (SSMs) as well as 2D and 3D CNNs to achieve a robust and accurate segmentation of even highly pathological knee structures.The shape models and neural networks employed are trained using data from the Osteoarthritis Initiative (OAI) and the MICCAI grand challenge "Segmentation of Knee Images 2010" (SKI10), respectively. We evaluate our method on 40 validation and 50 submission datasets from the SKI10 challenge.For the first time, an accuracy equivalent to the inter-observer variability of human readers is achieved in this challenge.Moreover, the quality of the proposed method is thoroughly assessed using various measures for data from the OAI, i.e. 507 manual segmentations of bone and cartilage, and 88 additional manual segmentations of cartilage. Our method yields sub-voxel accuracy for both OAI datasets. We make the 507 manual segmentations as well as our experimental setup publicly available to further aid research in the field of medical image segmentation.In conclusion, combining localized classification via CNNs with statistical anatomical knowledge via SSMs results in a state-of-the-art segmentation method for knee bones and cartilage from MRI data.}, language = {en} } @misc{LindowBaumLeborgneetal.2018, author = {Lindow, Norbert and Baum, Daniel and Leborgne, Morgan and Hege, Hans-Christian}, title = {Interactive Visualization of RNA and DNA Structures}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-69704}, year = {2018}, abstract = {The analysis and visualization of nucleic acids (RNA and DNA) play an increasingly important role due to the growing number of known 3-dimensional structures of such molecules. The great complexity of these structures, in particular, those of RNA, demands interactive visualization to get deeper insights into the relationship between the 2D secondary structure motifs and their 3D tertiary structures. Over the last decades, a lot of research in molecular visualization has focused on the visual exploration of protein structures while nucleic acids have only been marginally addressed. In contrast to proteins, which are composed of amino acids, the ingredients of nucleic acids are nucleotides. They form structuring patterns that differ from those of proteins and, hence, also require different visualization and exploration techniques. In order to support interactive exploration of nucleic acids, the computation of secondary structure motifs as well as their visualization in 2D and 3D must be fast. Therefore, in this paper, we focus on the performance of both the computation and visualization of nucleic acid structure. For the first time, we present a ray casting-based visualization of RNA and DNA secondary and tertiary structures, which enables real-time visualization of even large molecular dynamics trajectories. Furthermore, we provide a detailed description of all important aspects to visualize nucleic acid secondary and tertiary structures. With this, we close an important gap in molecular visualization.}, language = {en} } @article{LindowBaumLeborgneetal.2019, author = {Lindow, Norbert and Baum, Daniel and Leborgne, Morgan and Hege, Hans-Christian}, title = {Interactive Visualization of RNA and DNA Structures}, volume = {25}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = {1}, doi = {10.1109/TVCG.2018.2864507}, pages = {967 -- 976}, year = {2019}, abstract = {The analysis and visualization of nucleic acids (RNA and DNA) is playing an increasingly important role due to their fundamental importance for all forms of life and the growing number of known 3D structures of such molecules. The great complexity of these structures, in particular, those of RNA, demands interactive visualization to get deeper insights into the relationship between the 2D secondary structure motifs and their 3D tertiary structures. Over the last decades, a lot of research in molecular visualization has focused on the visual exploration of protein structures while nucleic acids have only been marginally addressed. In contrast to proteins, which are composed of amino acids, the ingredients of nucleic acids are nucleotides. They form structuring patterns that differ from those of proteins and, hence, also require different visualization and exploration techniques. In order to support interactive exploration of nucleic acids, the computation of secondary structure motifs as well as their visualization in 2D and 3D must be fast. Therefore, in this paper, we focus on the performance of both the computation and visualization of nucleic acid structure. We present a ray casting-based visualization of RNA and DNA secondary and tertiary structures, which enables for the first time real-time visualization of even large molecular dynamics trajectories. Furthermore, we provide a detailed description of all important aspects to visualize nucleic acid secondary and tertiary structures. With this, we close an important gap in molecular visualization.}, language = {en} } @article{ObermeierHeimBiereetal.2018, author = {Obermeier, Patrick and Heim, A. and Biere, Barbara and Hage, E. and Alchikh, Maren and Conrad, Tim and Schweiger, Brunhilde and Rath, Barbara}, title = {Clinical characteristics and disease severity associated with adenovirus infections in infants and children - discovery of a novel adenovirus, HAdV-D80}, journal = {Clinical Infectious Diseases}, year = {2018}, language = {en} } @article{KorkSpiesConradetal.2018, author = {Kork, F. and Spies, Claudia and Conrad, Tim and Weiss, B. and Roenneberg, T. and Wernecke, K.-D. and Balzer, Felix}, title = {Associations of postoperative mortality with the time of day, week and year}, journal = {Anaesthesia}, year = {2018}, language = {en} } @article{AgudoJacomeHegePaetschetal.2018, author = {Agudo J{\´a}come, Leonardo and Hege, Hans-Christian and Paetsch, Olaf and P{\"o}thkow, Kai}, title = {Three-dimensional reconstruction and quantification of dislocation substructures from transmission electron microscopy stereo pairs}, volume = {195}, journal = {Ultramicroscopy}, doi = {10.1016/j.ultramic.2018.08.015}, pages = {157 -- 170}, year = {2018}, abstract = {A great amount of material properties is strongly influenced by dislocations, the carriers of plastic deformation. It is therefore paramount to have appropriate tools to quantify dislocation substructures with regard to their features, e.g., dislocation density, Burgers vectors or line direction. While the transmission electron microscope (TEM) has been the most widely-used equipment implemented to investigate dislocations, it usually is limited to the two-dimensional (2D) observation of three-dimensional (3D) structures. We reconstruct, visualize and quantify 3D dislocation substructure models from only two TEM images (stereo pairs) and assess the results. The reconstruction is based on the manual interactive tracing of filiform objects on both images of the stereo pair. The reconstruction and quantification method are demonstrated on dark field (DF) scanning (S)TEM micrographs of dislocation substructures imaged under diffraction contrast conditions. For this purpose, thick regions (>300 nm) of TEM foils are analyzed, which are extracted from a Ni-base superalloy single crystal after high temperature creep deformation. It is shown how the method allows 3D quantification from stereo pairs in a wide range of tilt conditions, achieving line length and orientation uncertainties of 3\% and 7°, respectively. Parameters that affect the quality of such reconstructions are discussed.}, language = {en} } @misc{SakuraiOnoCarretal.2019, author = {Sakurai, Daisuke and Ono, Kenji and Carr, Hamish and Nonaka, Jorji and Kawanabe, Tomohiro}, title = {Flexible Fiber Surfaces: A Reeb-Free Approach}, journal = {Topological Methods in Data Analysis and Visualization V}, editor = {Carr, Hamish and Fujishiro, Issei and Sadlo, Filip and Takahashi, Shigeo}, publisher = {Springer}, pages = {14}, year = {2019}, abstract = {The fiber surface generalizes the popular isosurface to multi-fields, so that pre-images can be visualized as surfaces. As with the isosurface, however, the fiber surface suffers from visual occlusion. We propose to avoid such occlusion by restricting the components to only the relevant ones with a new component-wise flexing algorithm. The approach, flexible fiber surface, generalizes the manipulation idea found in the flexible isosurface for the fiber surface. The flexible isosurface in the original form, however, relies on the contour tree. For the fiber surface, this corresponds to the Reeb space, which is challenging for both the computation and user interaction. We thus take a Reeb-free approach, in which one does not compute the Reeb space. Under this constraint, we generalize a few selected interactions in the flexible isosurface and discuss the implication of the restriction.}, language = {en} } @misc{SakuraiOnoCarretal.2019, author = {Sakurai, Daisuke and Ono, Kenji and Carr, Hamish and Nonaka, Jorji and Kawanabe, Tomohiro}, title = {Flexible Fiber Surfaces: A Reeb-Free Approach}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-72599}, year = {2019}, abstract = {The fiber surface generalizes the popular isosurface to multi-fields, so that pre-images can be visualized as surfaces. As with the isosurface, however, the fiber surface suffers from visual occlusion. We propose to avoid such occlusion by restricting the components to only the relevant ones with a new component-wise flexing algorithm. The approach, flexible fiber surface, generalizes the manipulation idea found in the flexible isosurface for the fiber surface. The flexible isosurface in the original form, however, relies on the contour tree. For the fiber surface, this corresponds to the Reeb space, which is challenging for both the computation and user interaction. We thus take a Reeb-free approach, in which one does not compute the Reeb space. Under this constraint, we generalize a few selected interactions in the flexible isosurface and discuss the implication of the restriction.}, language = {en} } @misc{SakuraiHegeKuhnetal.2017, author = {Sakurai, Daisuke and Hege, Hans-Christian and Kuhn, Alexander and Rust, Henning and Kern, Bastian and Breitkopf, Tom-Lukas}, title = {An Application-Oriented Framework for Feature Tracking in Atmospheric Sciences}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-72617}, year = {2017}, abstract = {In atmospheric sciences, sizes of data sets grow continuously due to increasing resolutions. A central task is the comparison of spatiotemporal fields, to assess different simulations and to compare simulations with observations. A significant information reduction is possible by focusing on geometric-topological features of the fields or on derived meteorological objects. Due to the huge size of the data sets, spatial features have to be extracted in time slices and traced over time. Fields with chaotic component, i.e. without 1:1 spatiotemporal correspondences, can be compared by looking upon statistics of feature properties. Feature extraction, however, requires a clear mathematical definition of the features - which many meteorological objects still lack. Traditionally, object extractions are often heuristic, defined only by implemented algorithms, and thus are not comparable. This work surveys our framework designed for efficient development of feature tracking methods and for testing new feature definitions. The framework supports well-established visualization practices and is being used by atmospheric researchers to diagnose and compare data.}, language = {en} } @article{BuchmannKaplanPowelletal.2019, author = {Buchmann, Jens and Kaplan, Bernhard and Powell, Samuel and Prohaska, Steffen and Laufer, Jan}, title = {3D quantitative photoacoustic tomography using an adjoint radiance Monte Carlo model and gradient descent}, volume = {24}, journal = {Journal of Biomedical Optics}, number = {6}, doi = {10.1117/1.JBO.24.6.066001}, pages = {066001}, year = {2019}, abstract = {Quantitative photoacoustic tomography aims to recover maps of the local concentrations of tissue chromophores from multispectral images. While model-based inversion schemes are promising approaches, major challenges to their practical implementation include the unknown fluence distribution and the scale of the inverse problem. This paper describes an inversion scheme based on a radiance Monte Carlo model and an adjoint-assisted gradient optimization that incorporates fluence-dependent step sizes and adaptive moment estimation. The inversion is shown to recover absolute chromophore concentrations, blood oxygen saturation and the Gr{\"u}neisen parameter from in silico 3D phantom images for different radiance approximations. The scattering coefficient was assumed to be homogeneous and known a priori.}, language = {en} } @incollection{AmbellanLameckervonTycowiczetal.2019, author = {Ambellan, Felix and Lamecker, Hans and von Tycowicz, Christoph and Zachow, Stefan}, title = {Statistical Shape Models - Understanding and Mastering Variation in Anatomy}, volume = {3}, booktitle = {Biomedical Visualisation}, number = {1156}, editor = {Rea, Paul M.}, edition = {1}, publisher = {Springer Nature Switzerland AG}, isbn = {978-3-030-19384-3}, doi = {10.1007/978-3-030-19385-0_5}, pages = {67 -- 84}, year = {2019}, abstract = {In our chapter we are describing how to reconstruct three-dimensional anatomy from medical image data and how to build Statistical 3D Shape Models out of many such reconstructions yielding a new kind of anatomy that not only allows quantitative analysis of anatomical variation but also a visual exploration and educational visualization. Future digital anatomy atlases will not only show a static (average) anatomy but also its normal or pathological variation in three or even four dimensions, hence, illustrating growth and/or disease progression. Statistical Shape Models (SSMs) are geometric models that describe a collection of semantically similar objects in a very compact way. SSMs represent an average shape of many three-dimensional objects as well as their variation in shape. The creation of SSMs requires a correspondence mapping, which can be achieved e.g. by parameterization with a respective sampling. If a corresponding parameterization over all shapes can be established, variation between individual shape characteristics can be mathematically investigated. We will explain what Statistical Shape Models are and how they are constructed. Extensions of Statistical Shape Models will be motivated for articulated coupled structures. In addition to shape also the appearance of objects will be integrated into the concept. Appearance is a visual feature independent of shape that depends on observers or imaging techniques. Typical appearances are for instance the color and intensity of a visual surface of an object under particular lighting conditions, or measurements of material properties with computed tomography (CT) or magnetic resonance imaging (MRI). A combination of (articulated) statistical shape models with statistical models of appearance lead to articulated Statistical Shape and Appearance Models (a-SSAMs).After giving various examples of SSMs for human organs, skeletal structures, faces, and bodies, we will shortly describe clinical applications where such models have been successfully employed. Statistical Shape Models are the foundation for the analysis of anatomical cohort data, where characteristic shapes are correlated to demographic or epidemiologic data. SSMs consisting of several thousands of objects offer, in combination with statistical methods ormachine learning techniques, the possibility to identify characteristic clusters, thus being the foundation for advanced diagnostic disease scoring.}, language = {en} } @article{HildebrandtBrueningSchmidtetal.2019, author = {Hildebrandt, Thomas and Bruening, Jan Joris and Schmidt, Nora Laura and Lamecker, Hans and Heppt, Werner and Zachow, Stefan and Goubergrits, Leonid}, title = {The Healthy Nasal Cavity - Characteristics of Morphology and Related Airflow Based on a Statistical Shape Model Viewed from a Surgeon's Perspective}, volume = {35}, journal = {Facial Plastic Surgery}, number = {1}, doi = {10.1055/s-0039-1677721}, pages = {9 -- 13}, year = {2019}, abstract = {Functional surgery on the nasal framework requires referential criteria to objectively assess nasal breathing for indication and follow-up. Thismotivated us to generate amean geometry of the nasal cavity based on a statistical shape model. In this study, the authors could demonstrate that the introduced nasal cavity's mean geometry features characteristics of the inner shape and airflow, which are commonly observed in symptom-free subjects. Therefore, the mean geometry might serve as a reference-like model when one considers qualitative aspects. However, to facilitate quantitative considerations and statistical inference, further research is necessary. Additionally, the authorswere able to obtain details about the importance of the isthmus nasi and the inferior turbinate for the intranasal airstream.}, language = {en} } @article{HildebrandtBrueningLameckeretal.2019, author = {Hildebrandt, Thomas and Bruening, Jan Joris and Lamecker, Hans and Zachow, Stefan and Heppt, Werner and Schmidt, Nora and Goubergrits, Leonid}, title = {Digital Analysis of Nasal Airflow Facilitating Decision Support in Rhinosurgery}, volume = {35}, journal = {Facial Plastic Surgery}, number = {1}, doi = {10.1055/s-0039-1677720}, pages = {1 -- 8}, year = {2019}, abstract = {Successful functional surgery on the nasal framework requires reliable and comprehensive diagnosis. In this regard, the authors introduce a new methodology: Digital Analysis of Nasal Airflow (diANA). It is based on computational fluid dynamics, a statistical shape model of the healthy nasal cavity and rhinologic expertise. diANA necessitates an anonymized tomographic dataset of the paranasal sinuses including the complete nasal cavity and, when available, clinical information. The principle of diANA is to compare the morphology and the respective airflow of an individual nose with those of a reference. This enablesmorphometric aberrations and consecutive flow field anomalies to localize and quantify within a patient's nasal cavity. Finally, an elaborated expert opinion with instructive visualizations is provided. Using diANA might support surgeons in decision-making, avoiding unnecessary surgery, gaining more precision, and target-orientation for indicated operations.}, language = {en} } @article{HettichSchierjottSchillingetal.2018, author = {Hettich, G. and Schierjott, R. A. and Schilling, C. and Maas, A. and Ramm, Heiko and Bindernagel, Matthias and Lamecker, Hans and Grupp, T. M.}, title = {Validation of a Statistical Shape Model for Acetabular Bone Defect Analysis}, journal = {ISTA 2018 London Abstract Book}, year = {2018}, abstract = {Acetabular bone defects are still challenging to quantify. Numerous classification schemes have been proposed to categorize the diverse kinds of defects. However, these classification schemes are mainly descriptive and hence it remains difficult to apply them in pre-clinical testing, implant development and pre-operative planning. By reconstructing the native situation of a defect pelvis using a Statistical Shape Model (SSM), a more quantitative analysis of the bone defects could be performed. The aim of this study is to develop such a SSM and to validate its accuracy using relevant clinical scenarios and parameters.}, language = {en} }