@phdthesis{balabanian09thesis, title = "Multi-Aspect Visualization: Going from Linked Views to Integrated Views", author = "Jean-Paul Balabanian", year = "2009", abstract = "This thesis is a delve into the matter of visualization integration. There are many approaches to visualizing volume data and often several of these approaches can appropriately be used at the same time to visualize di erent aspects. The usual way is to visualize these aspects separately in di erent views, but integrating the visualizations into the same view can often be the superior approach. We describe the two most used approaches to visualizing several aspects at the same time; linked views and integrated views. We describe some approaches to create integrated visualizations by showing where in the visualization pipeline the integration takes place. We present work produced by the author describing the integrated visualizations developed.", school = "Department of Informatics, University of Bergen, Norway", month = oct, images = {images/balabanian09thesis.jpg, images/balabanian09thesis1.jpg, images/balabanian10hierarchical2.jpg, images/balabanian10hierarchical3.jpg,}, thumbnails = {images/balabanian09thesis_thumb.jpg, images/balabanian09thesis1_thumb.jpg, images/balabanian10hierarchical2_thumb.jpg, images/balabanian10hierarchical3_thumb.jpg,}, pdf = {pdfs/balabanian09mav.pdf}, project = {illvis}, } @phdthesis{patel09thesis, title = "Expressive Visualization and Rapid Interpretation of Seismic Volumes", author = "Daniel Patel", year = "2009", abstract = "One of the most important resources in the world today is energy. Oil and gas provide two thirds of the world energy consumption, making the world completely dependent on it. Locating and recovering the remaining oil and gas reserves will be of high focus in society until competitive energy sources are found. The search for hydrocarbons is broadly speaking the topic of this thesis. Seismic measurements of the subsurface are collected to discover oil and gas trapped in the ground. Identifying oil and gas in the seismic measurements requires visualization and interpretation. Visualization is needed to present the data for further analysis. Interpretation is performed to identify important structures. Visualization is again required for presenting these structures to the user. This thesis investigates how computer assistance in producing high-quality visualizations and in interpretation can result in expressive visualization and rapid interpretation of seismic volumes. Expressive visualizations represent the seismic data in an easily digestible, intuitive and pedagogic form. This enables rapid interpretation which accelerates the finding of important structures.", school = "Department of Informatics, University of Bergen, Norway", month = oct, images = {images/patel09thesis.jpg, images/patel09thesis1.jpg, images/patel09thesis3.jpg, images/patel09thesis2.jpg}, thumbnails = {images/patel09thesis_thumb.jpg, images/patel09thesis1_thumb.jpg, images/patel09thesis3_thumb.jpg, images/patel09thesis2_thumb.jpg}, URL = {http://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/}, project = {illvis}, } @incollection{hauserSchumann09pipeline, author = {Helwig Hauser and Heidrun Schumann}, booktitle = {Encyclopedia of Database Systems}, editor = {Ling Liu and M. Tamer {\"O}zsu}, pages = {3414--3416}, publisher = {Springer US}, title = {Visualization Pipeline}, year = {2009}, abstract = {Without Abstract}, images = {images/hauserSchumann09pipeline.jpg, images/hauserSchumann09pipeline2.jpg}, thumbnails = {images/hauserSchumann09pipeline_thumb.jpg, images/hauserSchumann09pipeline2_thumb.jpg}, URL = {http://dx.doi.org/10.1007/978-0-387-39940-9_1133}, } @article{lampe09cuvicentric, title = {Curve-Centric Volume Reformation for Comparative Visualization}, author = {Ove Daae Lampe and Carlos Correa and Kwan-Liu Ma and Helwig Hauser}, journal = {IEEE Transactions on Visualization and Computer Graphics}, volume = {15}, number = {6}, pages = {1235--1242}, year = {2009}, event = {IEEE Visualization 2009}, abstract = {We present two visualization techniques for curve-centric volume reformation with the aim to create compelling comparative visualizations. A curve-centric volume reformation deforms a volume, with regards to a curve in space, to create a new space in which the curve evaluates to zero in two dimensions and spans its arc-length in the third. The volume surrounding the curve is deformed such that spatial neighborhood to the curve is preserved. The result of the curve-centric reformation produces images where one axis is aligned to arc-length, and thus allows researchers and practitioners to apply their arc-length parameterized data visualizations in parallel for comparison. Furthermore we show that when visualizing dense data, our technique provides an inside out projection, from the curve and out into the volume, which allows for inspection what is around the curve. Finally we demonstrate the usefulness of our techniques in the context of two application cases. We show that existing data visualizations of arc-length parameterized data can be enhanced by using our techniques, in addition to creating a new view and perspective on volumetric data around curves. Additionally we show how volumetric data can be brought into plotting environments that allow precise readouts. In the first case we inspect streamlines in a flow field around a car, and in the second we inspect seismic volumes and well logs from drilling.}, images = {images/lampe09cuvicentric4.jpg, images/lampe09cuvicentric5.jpg, images/lampe09cuvicentric2.jpg, images/lampe09cuvicentric3.jpg}, thumbnails = {images/lampe09cuvicentric4_thumb.jpg, images/lampe09cuvicentric5_thumb.jpg, images/lampe09cuvicentric2_thumb.jpg, images/lampe09cuvicentric3_thumb.jpg}, URL = {http://dx.doi.org/10.1109/TVCG.2009.136} } @article{matkovic09surfaces, title = {Interactive Visual Analysis of Complex Scientific Data as Families of Data Surfaces}, author = {Kresimir Matkovic and Denis Gracanin and Borislav Klarin and Helwig Hauser}, journal = {IEEE Transactions on Visualization and Computer Graphics}, volume = {15}, number = {6}, pages = {1351--1358}, year = {2009}, event = {IEEE Visualization 2009}, abstract = {The widespread use of computational simulation in science and engineering provides challenging research opportunities. Multiple independent variables are considered and large and complex data are computed, especially in the case of multi-run simulation. Classical visualization techniques deal well with 2D or 3D data and also with time-dependent data. Additional independent dimensions, however, provide interesting new challenges. We present an advanced visual analysis approach that enables a thorough investigation of families of data surfaces, i.e., datasets, with respect to pairs of independent dimensions. While it is almost trivial to visualize one such data surface, the visual exploration and analysis of many such data surfaces is a grand challenge, stressing the users’ perception and cognition. We propose an approach that integrates projections and aggregations of the data surfaces at different levels (one scalar aggregate per surface, a 1D profile per surface, or the surface as such). We demonstrate the necessity for a flexible visual analysis system that integrates many different (linked) views for making sense of this highly complex data. To demonstrate its usefulness, we exemplify our approach in the context of a meteorological multi-run simulation data case and in the context of the engineering domain, where our collaborators are working with the simulation of elastohydrodynamic (EHD) lubrication bearing in the automotive industry.}, images = {images/matkovic09surfaces.jpg, images/matkovic09surfaces2.jpg}, thumbnails = {images/matkovic09surfaces_thumb.jpg, images/matkovic09surfaces2_thumb.jpg}, URL = {http://dx.doi.org/10.1109/TVCG.2009.155} } @article{patel09knowledge, title = {Knowledge-assisted visualization of seismic data}, author = {Daniel Patel and {\O}yvind Sture and Helwig Hauser and Christopher Giertsen and M. Eduard Gr{\"o}ller}, journal = {Computers \& Graphics}, volume = "33", number = "5", pages = "585--596", year = "2009", abstract = {We present novel techniques for knowledge-assisted annotation and computer-assisted interpretation of seismic data for oil and gas exploration. We describe the existing procedure for oil and gas search which consists of manually extracting information from seismic data and then aggregating it into knowledge in a detail-oriented bottom-up approach. We then point out the weaknesses of this approach and propose how to improve on it by introducing a holistic computer-assisted top-down approach intended as a preparation step enabling a quicker, more focused and accurate bottom-up interpretation. The top-down approach also enables early representations of hypotheses and knowledge using domain-specific textures for annotating the data. Finally we discuss how these annotations can be extended to 3D for volumetric annotations.}, URL = {http://dx.doi.org/10.1016/j.cag.2009.06.005}, images = {images/patel09knowledge2.jpg, images/patel09knowledge1.jpg, images/patel09knowledge3.jpg, images/patel09knowledge4.jpg}, thumbnails = {images/patel09knowledge2_thumb.jpg, images/patel09knowledge1_thumb.jpg, images/patel09knowledge3_thumb.jpg, images/patel09knowledge4_thumb.jpg}, } @article{fuchs09star, title = {Visualization of Multi-Variate Scientific Data}, author = {Raphael Fuchs and Helwig Hauser}, journal = {Computer Graphics Forum}, volume = {28}, number = {6}, pages = {1670--1690}, year = {2009}, abstract = {In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multi-variate data. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors and tensors. We also provide a categorization of these techniques with the aim for a better overview of related approaches. Based on this classification we highlight combinable and hybrid approaches and focus on techniques that potentially lead towards new directions in visualization research. In the second part of this paper we take a look at recent techniques that are useful for the visualization of complex data sets either because they are general purpose or because they can be adapted to specific problems.}, thumbnails = {images/buerger07star1_thumb.png, images/buerger07star2_thumb.png}, images = {images/buerger07star1.png, images/buerger07star2.png}, URL = {http://dx.doi.org/10.1111/j.1467-8659.2009.01429.x} } @book{sbert09informationTheory, author = {Mateu Sbert and Miquel Feixas and Jaume Rigau and Miguel Chover and Ivan Viola}, title = {Information Theory Tools for Computer Graphics}, year = {2009}, series = {Synthesis Lectures on Computer Graphics and Animation}, abstract = {Information theory (IT) tools, widely used in scientific fields such as engineering, physics, genetics, neuroscience, and many others, are also emerging as useful transversal tools in computer graphics. In this book, we present the basic concepts of IT and how they have been applied to the graphics areas of radiosity, adaptive ray-tracing, shape descriptors, viewpoint selection and saliency, scientific visualization, and geometry simplification. Some of the approaches presented, such as the viewpoint techniques, are now the state of the art in visualization. Almost all of the techniques presented in this book have been previously published in peer-reviewed conference proceedings or international journals. Here, we have stressed their common aspects and presented them in an unified way, so the reader can clearly see which problems IT tools can help solve, which specific tools to use, and how to apply them. A basic level of knowledge in computer graphics is required but basic concepts in IT are presented. The intended audiences are both students and practitioners of the fields above and related areas in computer graphics. In addition, IT practitioners will learn about these applications.}, publisher = {Morgan and Claypool Publishers Colorado}, isbn = {1598299298}, thumbnails = {images/viola09hand_thumb.jpg}, images = {images/viola09hand.jpg}, URL = {http://dx.doi.org/10.2200/S00208ED1V01Y200909CGR012}, project = {illustrasound,illvis} } @inproceedings{matkovic09imagecollection, author = {Kresimir Matkovic and Denis Gra\v{c}anin and Wolfgang Freiler and Jana Banova and Helwig Hauser}, title = {Large Image Collections---Comprehension and Familiarization by Interactive Visual Analysis}, booktitle = {Proceedings of the 10th International Symposium on Smart Graphics (SG'09)}, year = {2009}, pages = {15--26}, publisher = {Springer-Verlag}, abstract = {Large size and complex multi-dimensional characteristics of image collections demand a multifaceted approach to exploration and analysis providing better comprehension and appreciation. We explore large and complex data-sets composed of images and parameters describing the images. We describe a novel approach providing new and exciting opportunities for the exploration and understanding of such data-sets. We utilize coordinated, multiple views for interactive visual analysis of all parameters. Besides iterative refinement and drill-down in the image parameters space, exploring such data-sets requires a different approach since visual content cannot be completely parameterized. We simultaneously brush the visual content and the image parameter values. The user provides a visual hint (using an image) for brushing in addition to providing a complete image parameters specification. We illustrate our approach on a data-set of more than 26,000 images from Flickr. The developed approach can be used in many application areas, including sociology, marketing, or everyday use.}, thumbnails = {images/matkovic09image1_thumb.jpg, images/matkovic09image_thumb.jpg}, images = {images/matkovic09image1.jpg, images/matkovic09image.jpg}, URL = {http://dx.doi.org/10.1007/978-3-642-02115-2_2}, } @InProceedings{oeltze09perfusion, title={Visual analysis of cerebral perfusion data -- four interactive approaches and a comparison}, author={Steffen Oeltze and Bernhard Preim and Helwig Hauser and Jarle R{\o}rvik and Arvid Lundervold}, booktitle={Proceedings of the 6th Intern. Symp. on Image and Signal Processing and Analysis (ISPA 2009)}, year={2009}, month={Sept.}, pages={582--589}, abstract = {Cerebral perfusion data are acquired to characterize the regional blood supply of brain tissue. One of their major diagnostic applications is ischemic stroke assessment. We present a comparison of four interactive approaches to analyzing cerebral perfusion data from ischemic stroke patients which are based on (1) concentration-time curves (CTC) derived from the original data, (2) parameters describing the CTC shape, (3) enhancement trends computed in a statistical analysis, and (4) semi-quantitative perfusion parameters derived via parametric modelling and deconvolution. The comparison is carried out with regard to the involved data pre-processing, the complexity of the interactive analysis and the resulting tissue selections. It is supported by a visual analysis framework that integrates the different approaches. The rich information content in time-dependent 3D perfusion data is both an opportunity for improved diagnosis and a challenge how to optimize the assessment of such rich data. With our comparison we contribute to a discussion between data-near and model-near assessment strategies and their respective opportunities.}, images = {images/oeltze09perfusion1.jpg, images/oeltze09perfusion2.jpg}, thumbnails = {images/oeltze09perfusion1_thumb.jpg, images/oeltze09perfusion2_thumb.jpg}, } @incollection {ladstaedter09opac, author = {Florian Ladst{\"a}dter and Andrea K. Steiner and Bettina C. Lackner and Gottfried Kirchengast and Philipp Muigg and Johannes Kehrer and Helmut Doleisch}, title = {SimVis: An Interactive Visual Field Exploration Tool Applied to Climate Research}, booktitle = {New Horizons in Occultation Research}, editor = {A. Steiner and B. Pirscher and U. Foelsche and G. Kirchengast}, publisher = {Springer}, isbn = {978-3-642-00321-9}, pages = {235--245}, abstract = {Climate research often deals with large multi-dimensional fields describing the state of the atmosphere. A novel approach to gain information about these large data sets has become feasible only recently using 4D visualization techniques. The Simulation Visualization (SimVis) software tool, developed by the VRVis Research Center (Vienna, Austria), uses such techniques to provide access to the data interactively and to explore and analyze large three-dimensional time-dependent fields. Non-trivial visualization approaches are applied to provide a responsive and useful interactive experience for the user. In this study we used SimVis for the investigation of climate research data sets. An ECHAM5 climate model run and the ERA-40 reanalysis data sets were explored, with the ultimate goal to identify parameters and regions reacting most sensitive to climate change, representing robust indicators. The focus lies on the upper troposphere-lower stratosphere (UTLS) region, in view of future applications of the findings to radio occultation (RO) climatologies. First results showing the capability of SimVis to deal with climate data, including trend time series and spatial distributions of RO parameters are presented.}, URL = {http://dx.doi.org/10.1007/978-3-642-00321-9_19}, images = {images/ladstaedter09opac.jpg}, thumbnails = {images/ladstaedter09opac_thumb.jpg}, year = {2009} } @inproceedings{piringer09hds, title = "Hierarchical Difference Scatterplots - Interactive Visual Analysis of Data Cubes", author = "Harald Piringer and Matthias Buchetics and Helwig Hauser and M. Eduard Gr{\"o}ller", year = "2009", abstract = "Data cubes as employed by On-Line Analytical Processing (OLAP) play a key role in many application domains. The analysis typically involves to compare categories of different hierarchy levels with respect to size and pivoted values. Most existing visualization methods for pivoted values, however, are limited to single hierarchy levels. The main contribution of this paper is an approach called Hierarchical Difference Scatterplot (HDS). A HDS allows for relating multiple hierarchy levels and explicitly visualizes differences between them in the context of the absolute position of pivoted values. We discuss concepts of tightly coupling HDS to other types of tree visualizations and propose the integration in a setup of multiple views, which are linked by interactive queries on the data. We evaluate our approaches by analyzing social survey data in collaboration with a domain expert.", pages = "56--65", month = jun, location = "Paris, France", booktitle = "Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery (VAKD)", images = {images/piringer09hds.jpg, images/piringer09hds2.jpg}, thumbnails = {images/piringer09hds_thumb.jpg, images/piringer09hds2_thumb.jpg}, URL = "http://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/", } @inproceedings{shi09path, author = {Kuangyu Shi and Holger Theisel and Helwig Hauser and Tino Weinkauf and Kresimir Matkovic and Hans-Christian Hege and Hans-Peter Seidel}, title = {Path Line Attributes -- an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields}, booktitle = {Topology-Based Methods in Visualization II}, abstract = {We describe an approach to visually analyzing the dynamic behavior of 3D time-dependent flow fields by considering the behavior of the path lines. At selected positions in the 4D space-time domain, we compute a number of local and global properties of path lines describing relevant features of them. The resulting multivariate data set is analyzed by applying state-of-the-art information visualization approaches in the sense of a set of linked views (scatter plots, parallel coordinates, etc.) with interactive brushing and focus+context visualization. The selected path lines with certain properties are integrated and visualized as colored 3D curves. This approach allows an interactive exploration of intricate 4D flow structures. We apply our method to a number of flow data sets and describe how path line attributes are used for describing characteristic features of these flows.}, pages = {75--88}, year = {2009}, images = {images/shi09path1.jpg, images/shi09path2.jpg}, thumbnails = {images/shi09path1_thumb.jpg, images/shi09path2_thumb.jpg}, URL = {http://dx.doi.org/10.1007/978-3-540-88606-8_6} } @InProceedings{ropinski09closeups, author = {Timo Ropinski and Ivan Viola and Martin Biermann and Helwig Hauser and Klaus Hinrichs}, title = {Multimodal Visualization with Interactive Closeups}, booktitle = {EGUK Theory and Practice of Computer Graphics}, year = {2009}, abstract = {Closeups are used in illustrations to provide detailed views on regions of interest. They are integrated into the rendering of the whole structure in order to reveal their spatial context. In this paper we present the concept of interactive closeups for medical reporting. Each closeup is associated with a region of interest and may show a single modality or a desired combination of the available modalities using different visualization styles. Thus it becomes possible to visualize multiple modalities simultaneously and to support doctor-to-doctor communication on the basis of interactive multimodal closeup visualizations. We discuss how to compute a layout for 2D and 3D closeups, and how to edit a closeup configuration to prepare a presentation or a subsequent doctor-to-doctor communication. Furthermore, we introduce a GPU-based rendering algorithm, which allows to render multiple closeups at interactive frame rates. We demonstrate the application of the introduced concepts to multimodal PET/CT data sets additionally co-registered with MRI.}, url = {http://viscg.uni-muenster.de/publications/2009/RVBHH09}, month = {June}, URL = {http://viscg.uni-muenster.de/publications/2009/RVBHH09/}, thumbnails = {images/ropinski09closeup_thumb.jpg, http://viscg.uni-muenster.de/publications/2009/RVBHH09/.thumbs/3dcloseup.jpg.jpg, http://viscg.uni-muenster.de/publications/2009/RVBHH09/.thumbs/closeup0.jpg.jpg, http://viscg.uni-muenster.de/publications/2009/RVBHH09/.thumbs/interaction2.jpg.jpg}, images = {http://viscg.uni-muenster.de/publications/2009/RVBHH09/bc-case_closeups.png, http://viscg.uni-muenster.de/publications/2009/RVBHH09/3dcloseup.jpg, http://viscg.uni-muenster.de/publications/2009/RVBHH09/closeup0.jpg, http://viscg.uni-muenster.de/publications/2009/RVBHH09/interaction2.jpg}, project = {illvis,medviz}, } @inproceedings{patel09momentCurves, author = {Daniel Patel and Martin Haidacher and Jean-Paul Balabanian and M. Eduard Gr{\"o}ller}, title = {Moment Curves}, year = {2009}, booktitle = {Proceedings of the IEEE Pacific Visualization Symposium 2009}, pages = {201--208}, images = {images/patel09momentCurves1.jpg, images/patel09momentCurves2.jpg}, thumbnails = {images/patel09momentCurves1_thumb.jpg, images/patel09momentCurves2_thumb.jpg}, location = {Beijing, China}, abstract = {We define a transfer function based on the first and second statistical moments. We consider the evolution of the mean and variance with respect to a growing neighborhood around a voxel. This evolution defines a curve in 3D for which we identify important trends and project it back to 2D. The resulting 2D projection can be brushed for easy and robust classification of materials and material borders. The transfer function is applied to both CT and MR data.}, month = {April}, URL = {http://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/} } @inproceedings{lie09glyphBased3Dvisualization, author = {Andreas E. Lie and Johannes Kehrer and Helwig Hauser}, title ={Critical Design and Realization Aspects of Glyph-based 3D Data Visualization}, year = {2009}, booktitle = {Proceedings of the Spring Conference on Computer Graphics (SCCG 2009)}, location = "Budmerice, Slovakia", pages = {27--34}, abstract = {Glyphs are useful for the effective visualization of multi-variate data. They allow for easily relating multiple data attributes to each other in a coherent visualization approach. While the basic principle of glyph-based visualization has been known for a long time, scientific interest has recently increased focus on the question of how to achieve a clever and successful glyph design. Along this newer trend, we present a structured discussion of several critical design aspects of glyph-based visualization with a special focus on 3D data. For three consecutive steps of data mapping, glyph instantiation, and rendering, we identify a number of design considerations. We illustrate our discussion with a new glyph-based visualization of time-dependent 3D simulation data and demonstrate how effective results are achieved.}, month = {April}, pdf = {pdfs/lie09glyphBased3Dvisualization.pdf}, url = {http://dx.doi.org/10.1145/1980462.1980470}, images = {images/lie09glyphs.png, images/lie09dpf.jpg, images/lie09hurricane2.jpg, images/lie09hurricane.jpg}, thumbnails = {images/lie09glyphs_thumb.png, images/lie09dpf_thumb.jpg, images/lie09hurricane2_thumb.jpg, images/lie09hurricane_thumb.jpg}, vid = {vids/lie09glyphBased3Dvisualization.html} } @inproceedings{birkeland09peeling, author = {{\AA}smund Birkeland and Ivan Viola}, title ={View-Dependent Peel-Away Visualization for Volumetric Data}, year = {2009}, booktitle = {Proceedings of the Spring Conference on Computer Graphics (SCCG 2009)}, location = "Budmerice, Slovakia", pages = {133--139}, vid = {vids/birkeland09peeling.avi}, images = {images/birkeland09peeling.jpg, images/birkeland09peeling2.jpg, images/birkeland09peeling1.jpg}, thumbnails = {images/birkeland09peeling_thumb.jpg, images/birkeland09peeling2_thumb.jpg, images/birkeland09peeling1_thumb.jpg}, abstract = {In this paper a novel approach for peel-away visualizations is presented. The newly developed algorithm extends existing illustrative deformation approaches which are based on deformation templates and adds a new component of view-dependency of the peel region. The view-dependent property guarantees the viewer an unobstructed view on the inspected feature of interest. This is realized by rotating the deformation template so that the peeled-away segment always faces away from the viewer. Furthermore the new algorithm computes the underlying peel template on-the-fly, which allows animating the level of peeling. When structures of interest are tagged with segmentation masks, an automatic scaling and positioning of peel deformation templates allows guided navigation and clear view on structures in focus as well as feature-aligned peeling. The overall performance allows smooth interaction with reasonably sized datasets and peel templates as the implementation maximizes the utilization of computation power of modern GPUs.}, month = {April}, pdf = {pdfs/birkeland09peeling.pdf}, url = {http://dx.doi.org/10.1145/1980462.1980487}, project = {illvis}, } @inproceedings{konyha09iva, title = "Interactive Visual Analysis in Engineering: A Survey", author = "Zoltan Konyha and Kresimir Matkovic and Helwig Hauser", year = "2009", abstract = "Interactive visual analysis has become a very popular research field. There is a significant body of literature on making sense of massive data sets, on visualization and interaction techniques as well as on analysis concepts. However, surveying how those results can be applied to actual engineering problems, including both product and manufacturing design as well as evaluation of simulation and measurement data, has not been discussed sufficiently to date. In this paper we provide a selection of demonstration cases that document the potential benefits of using interactive visual analysis in a wide range of engineering domains, including the investigation of flow and particle dynamics, automotive engine design tasks and change management in the product design process. We attempt to identify some of the proven technological details such as the linking of space-time and attribute views through an application-wide coherent selection mechanism. This paper might be an interesting survey for readers with a relation to the engineering sector, both reflecting on available technological building blocks for interactive visual data analysis as well as exemplifying the potential benefits on behalf of the application side.", booktitle = {Proceedings of the Spring Conference on Computer Graphics (SCCG 2009)}, pages = "31--38", month = apr, location = "Budmerice, Slovakia", images = {images/konyha09iva.jpg}, thumbnails = {images/konyha09iva_thumb.jpg}, URL = "http://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/", } @article {nylund2009sonography, author = {Kim Nylund and Svein {\O}degaard and Trygve Hausken and Geir Folvik and Gülen Arslan Lied and Ivan Viola and Helwig Hauser and Odd Helge Gilja} journal = {World Journal of Gastroenterology}, number = {11}, pages = {1319--1330}, title = {Sonography of the small intestine}, url = {http://www.wjgnet.com/1007-9327/15/1319.asp}, volume = {15}, year = {2009}, month = {3], abstract = {In the last two decades, there has been substantial development in the diagnostic possibilities for examining the small intestine. Compared with computerized tomography, magnetic resonance imaging, capsule endoscopy and double-balloon endoscopy, ultrasonography has the advantage of being cheap, portable, flexible and user- and patient-friendly, while at the same time providing the clinician with image data of high temporal and spatial resolution. The method has limitations with penetration in obesity and with intestinal air impairing image quality. The flexibility ultrasonography offers the examiner also implies that a systematic approach during scanning is needed. This paper reviews the basic scanning techniques and new modalities such as contrast-enhanced ultrasound, elastography, strain rate imaging, hydrosonography, allergosonography, endoscopic sonography and nutritional imaging, and the literature on disease-specific findings in the small intestine. Some of these methods have shown clinical benefit, while others are under research and development to establish their role in the diagnostic repertoire. However, along with improved overall image quality of new ultrasound scanners, these methods have enabled more anatomical and physiological changes in the small intestine to be observed. Accordingly, ultrasound of the small intestine is an attractive clinical tool to study patients with a range of diseases.}, URL = {http://www.wjgnet.com/1007-9327/15/1319.pdf}, thumbnails = {images/nylund09sonosmall_thumb.jpg}, images = {images/nylund09sonosmall.jpg}, month = {March}, project = {medviz}, } @misc{kehrer09wegener, author = {Helmut Doleisch and Johannes Kehrer}, title ={SimVis – eine neue Technologie zur interaktiven visuellen Analyse: Konzepte und Anwendungen im Umfeld der Klimaforschung}, year = {2009}, month = {December}, howpublished = {Invited talk at Wegener Center for Climate and Global Change}, location = {Graz, Austria}, abstract = {}, images = {images/ladstaedter10exploration.jpg}, thumbnails = {images/ladstaedter10exploration_thumb.jpg}, } @misc{kehrer09potsdam, author = {Johannes Kehrer}, title ={Interactive Visual Analysis of Multi-run Climate Data}, year = {2009}, month = {December}, howpublished = {Invited talk at Potsdam Institute for Climate Impact Research (PIK)}, location = {Potsdam, Germany}, abstract = {The increasing complexity of data stemming from climate models and observations creates new challenges for data analysis. Traditional approaches are often based on computing statistical data properties. Interactive visual analysis, on the other hand, allows the stepwise exploration of the data in a guided human-computer dialog. It uses graphical representations of the data to interactively explore the data in multiple linked views. This allows the analyst to rapidly generate and analyze hypotheses, to identify data deficiencies, and to explore data trends and outliers. In an ongoing cooperation between the University of Bergen, Norway, the Potsdam Institute for Climate Impact Research (PIK), and the SimVis GmbH, Vienna, we used and extended our visual analysis framework to also work with multi-run climate data. In the framework, we relate the original multi-run data and derived statistical properties to each other. This allows the analyst to work in parallel with both, the aggregated data representation and the original multi-run data. We demonstrate this in a visual sensitivity analysis of the multi-run data.}, images = {images/kehrer11heterogeneous2.jpg}, thumbnails = {images/kehrer09potsdam_thumb.jpg}, }