|Aug 14||Aug 15||Aug 16||Aug 17-18|
|7:45 – 8:15||Registration||SIGRAD 2017|
|8:15 – 10:00||Intro to Visualization||Topology||Molecular Visualization II|
|10:00 – 10:20||Coffee Break|
|10:20 – 12:00||Volume Visualization||Evaluation||Information Visualization|
|12:00 – 13:30||Lunch Break|
|13:30 – 15:10||Basic Visualization Methods||Big Data||Medical Visualization|
|15:10 – 15:30||Coffee Break|
|15:30 – 17:10||Molecular Visualization I||Social Event||Inviwo Show Cases|
- Molecular Visualization
Ivan Viola, Vienna University of Technology, Austria
Molecular Visualization I, Molecular Visualization II
Molecular visualization will consist of two 90 minutes lectures. In the first lecture unit, we will describe the most common three-dimensional models for representing biomolecules. We will introduce the van-der-Waals representation, Gaussian surfaces and the Solvent Excluded Surfaces from the geometric point of view. For each model we will discuss which rendering algorithms can be used for representing these, starting with voxelization, up to more complex techniques based on direct rendering of implicit surface representation.
In the second lecture unit we will discuss visualization techniques for large molecular assemblies where not a single molecule should be rendered but millions of molecules forming an entire single-cell organism instead. We will describe the specific graphics pipeline for interactive display of such type of data as well as the visualization techniques for occlusion management and color mapping that allow us to gain insight of this complex multiscale representation. Furthermore we will describe how multi-scale dynamic phenomena can be visually conveyed and we will conclude with introducing methods for real-time procedural modeling of biology.
Ivan Viola is Associate Professor at the TU Wien, Austria. He received M.Sc. in 2002 and Ph.D. in 2005 from TU Wien, Austria. Afterwards, in 2006 he joined the University of Bergen, Norway as a Postdoctoral researcher and contributed to a buildup of a new research group on visualization at the Institute of Informatics. In 2008 he was promoted to Associate Professor and in 2011 to Full Professor at the University of Bergen. During this period he was also appointed as a scientific adviser at the Christian Michelsen Research, Norway. His research is focusing on illustrative visualization techniques with particular application in medicine, biological and earth sciences. Viola has co-authored about hundred of scientific works, published in international journals and conferences such as IEEE TVCG, EG CGF, Elsevier’s C&G, IEEE VIS, and EG EuroVis, and acted as a reviewer and IPC member for conferences in the field of computer graphics and visualization. He is member of Eurographics and VGTC IEEE Computer Society.
- Visualization for Computational Science
Christoph Garth, University of Kaiserslautern, Germany
Topology, Big Data
The lectures will consider modern topics in visualization for computational science. The first lecture will discuss topological data analysis as an abstraction mechanism for large and complex data sets. After introducing some fundamental concepts from topology, the lecture will build towards core algorithms such as contour trees and vector field visualization. The second lecture will take a broader view of challenges and opportunities in the visualization of modern computational science datasets. These are often large, contain a multitude of variables, and may include stochastic aspects aimed at uncertainty quantification, which require substantially new visualization methods. After an analysis of these challenges, the lecture will discuss some recent developments, such as the paradigm of in situ visualization.
Christoph Garth received a Master’s degree (diploma) in mathematics in 2003 and a PhD degree in computer science in 2007, both from the University of Kaiserslautern. He has been a full professor of Computer Science there since 2017. Christoph’s research interests include large-scale data analysis and visualization, in-situ visualization, topology-based methods in visualization, and interdisciplinary applications of visualization.
- Information Visualization
Rafael Messias Martins, Linnaeus University, Växjö, Sweden
Information Visualization (InfoVis) covers the development of techniques and tools for the better understanding and analysis of data using the human visual system. It centers on abstract data without spatial correspondences; that is, you usually cannot map this information to the physical world. This data is typically inherently discrete. Our lecture will firstly define the fundamental terminologies used in Information Visualization and explain the differences and commonalities to related areas such as Scientific Visualization (SciVis) or Visual Analytics (VA). We then will give an overview of the most important InfoVis techniques (ranging from interaction methods to visual representations) and solutions for specific application domains. Finally, we will highlight existing research challenges and discuss pros and cons of a closer integration of InfoVis techniques with SciVis techniques.
Rafael Messias Martins has a Master’s degree from the University of São Paulo, Brazil (2011), and a double-degree PhD (2016) obtained in an international collaboration between the University of São Paulo and the University of Groningen, The Netherlands. Since 2016 he works as a postdoctoral researcher in the ISOVIS research group, at Linnaeus University, Växjö. His work involves mainly the visualization of high-dimensional data through dimensionality reduction techniques, their interplay with other techniques such as graph drawing, and their applications in different domains such as text analysis, software development and social networks.
- Medical Visualization
Renata Raidou, Vienna University of Technology, Austria
Medical imaging technology has evolved rapidly in the past decade, generating imaging information with considerable size and constantly increasing complexity. In addition to the acquired images, other sources of information are becoming available in clinical institutions, creating new challenges and opportunities for research in the field of Medical Visualization.
In this 90 minutes lecture, we aim to cover a multitude of topics with respect to the past, present and future of Medical Visualization. We will start with a short introduction on basic techniques, and we will mainly focus on discussing novel clinical and (bio-)medical applications, from the fields of Scientific Visualization (SciVis) and Visual Analytics (VA).
Renata Raidou received her Master’s degree in Biomedical Engineering from Delft University of Technology, the Netherlands, in October 2012. In March 2017, she obtained her Ph.D. degree in Medical Visualization from Eindhoven University of Technology, the Netherlands. The topic of her dissertation was “Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline”, for which she received the Dirk Bartz Prize for Visual Computing in Medicine (1st Place) at Eurographics 2017. During her Ph.D., she was also a visiting researcher at the Computer Graphics and Visualization (CGV) Group of Delft University of Technology. Since February 2017, she is employed as a Post-Doc Researcher at the Computer Graphics Group of the Institute of Computer Graphics and Algorithms at TU Wien, in Austria. Her research focus in on the interface between Visual Analytics, Image Processing and Machine Learning, particularly with respect to medical applications. She has several publications in international journals and conferences such as IEEE TVCG, EG CGF, MICCAI, IEEE VIS, and EG EuroVis, and served as a reviewer and IPC member for visualization conferences.
- Introduction to Visualization
Ingrid Hotz, Linköping University, Sweden
- Volume Visualization
Patric Ljung, Linköping University, Sweden
- Basic Visualization Methods
Ingrid Hotz, Linköping University, Sweden
Camilla Forsell, Linköping University, Sweden
- Inviwo Show Cases
Inviwo is a software framework for rapid visualization prototyping. It is developed at Linköping University, Sweden in the Scientific Visualization Group.
In this session, we will demonstrate the framework and its capabilities regarding visualization. The presented examples will be taken from different fields and include medical visualization, flow visualization, topology, and more.
As social event of the Summer School a hike around a former marble quarry (Marmorbrukets naturreservat) is planned. This scenic hike is following the beautiful coast line of Bråviken, a bay of the Baltic Sea close to Norrköpping. Afterward we will have dinner at the Sjöstugan in Kolmården close by. The costs for bus transfer and dinner have to be covered by the participants.