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International Conference on computer Vision Theory and Applications (VISAPP)

作者： Tijmen Klein Matthew van der Zwan Alexandru Telea Scientific Visualization and Computer Graphics University of Groningen Groningen The Netherlands

ISBN: (纸本)9781479976867

We present a novel set of techniques for visualization of very large data sets encoding flight information obtained from Air Traffic Control. The aims of our visualization are to provide a smooth way to explore the available information and find outlier spatio-temporal patterns by navigating between fine-scale, detail, views on the data and coarse overviews of large areas and long time periods. To achieve this, we extend and adapt several image-based visualization techniques, including animation, density maps, and bundled graphs. In contrast to previous methods, we are able to visualize significantly more information on a single screen, with limited clutter, and also create real-time animations of the data. For computational scalability, we implement our method using GPU-accelerated techniques. We demonstrate our results on several real-world data sets ranging from hours over a country to one month over the entire world.

关键词： Data visualization Image color analysis Animation Airports Scalability Trajectory Airplanes

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Visual exploration of simulated and measured blood flow

Mathematics and Visualization

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Mathematics and visualization 2014年 37卷 305-324页

作者： Vilanova, A. Preim, Bernhard van Pelt, Roy Gasteiger, Rocco Neugebauer, Mathias Wischgoll, Thomas Computer Graphics and Visualization EEMCS - Delft University of Technology 270 Building 36 - Mekelweg 4 2628 CD Delft Postbox 5 Delft2600 AA Netherlands Institut Für Simulation Und Graphik Otto-von-Guericke-Universität Magdeburg Magdeburg Germany Computer Science and Engineering Wright State University Dayton United States

Morphology of cardiovascular tissue is influenced by the unsteady behavior of the blood flow and vice versa. Therefore, the pathogenesis of several cardiovascular diseases is directly affected by the blood-flow dynamics. Understanding flow behavior is of vital importance to understand the cardiovascular system and potentially harbors a considerable value for both diagnosis and risk assessment. The analysis of hemodynamic characteristics involves qualitative and quantitative inspection of the blood-flow field. visualization plays an important role in the qualitative exploration, as well as the definition of relevant quantitative measures and its validation. There are two main approaches to obtain information about the blood flow: simulation by computational fluid dynamics, and in-vivo measurements. Although research on blood flow simulation has been performed for decades, many open problems remain concerning accuracy and patient-specific solutions. Possibilities for real measurement of blood flow have recently increased considerably by new developments inmagnetic resonance imaging which enable the acquisition of 3Dquantitative measurements of blood-flow velocity fields. This chapter presents the visualization challenges for both simulation and real measurements of unsteady blood-flow fields. © Springer-Verlag London 2014.

关键词： Flow fields

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Information technology for communities: Development of a web-based 3D visualization and cluster computing system for disaster management

Information technology for communities: Development of a web...

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121st ASEE Annual Conference and Exposition: 360 Degrees of Engineering Education

作者： Jin, Ge Dekker, Gerald A. Moreland, John Nicolai, Barbara Jean Department of Computer Information Technology and Graphics College of Technology Purdue University Calumet United States Department of Computer Science Purdue University Calumet United States Center for Innovation through Visualization and Simulation Purdue University Calumet United States

Natural disasters can cause huge loss of life, enormous amounts of property damage to the local communities. Although it is impossible to avoid the natural disasters, human sufferings can be reduced by adopting information technologies to the disaster response missions. In this paper, a web-based 3D visualization and cluster computing system was developed to facilitate and expedite the resource distribution process during a disaster. Our disaster management system utilizes state-of- The- Art computing cluster with 16 nodes of Intel Xeon-E5 processors (16 cores per node) to process the emergency supply requests from the disaster victims, and calculate the optimal resource distribution routes with the consideration of the damaged transportation infrastructures. The optimized resource distribution problem was solved with distributed all pair shortest path algorithm and the vehicle routing algorithm. The web-based 3D visualization system was developed with Google earth engine to display the disaster areas, affected households and resource distribution routes. The computation result from the cluster was automatically uploaded to the web-based 3D visualization system, enabling the users to immediately see the optimal resource distribution routes in a virtual 3D environment. The visualization system is flexible and can be easily adapted to a Google earth enabled mobile devices, desktop monitors as well as a Cave automatic virtual environment (CAVE). A historical disaster data from the Northwest Indiana was used to demonstrate the functionalities of the developed system. © American Society for Engineering Education, 2013.

关键词： Virtual reality

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Automatic tuning of liver tissue model using simulated annealing and genetic algorithm heuristic approaches

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AIP Conference Proceedings 2014年第1期1605卷 313-318页

作者： Salina Sulaiman Abdullah Bade Rechard Lee Siti Hasnah Tanalol Real-Time Computer Graphics and Visualization (GRAVS) School of Science and Technology Universiti Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia

Mass Spring Model (MSM) is a highly efficient model in terms of calculations and easy implementation. Mass, spring stiffness coefficient and damping constant are three major components of MSM. This paper focuses on identifying the coefficients of spring stiffness and damping constant using automated tuning method by optimization in generating human liver model capable of responding quickly. To achieve the objective two heuristic approaches are used, namely Simulated Annealing (SA) and Genetic Algorithm (GA) on the human liver model data set. The properties of the mechanical heart, which are taken into consideration, are anisotropy and viscoelasticity. Optimization results from SA and GA are then implemented into the MSM to model two human hearts, each with its SA or GA construction parameters. These techniques are implemented while making FEM construction parameters as benchmark. Step size response of both models are obtained after MSMs were solved using Fourth Order Runge-Kutta (RK4) to compare the elasticity response of both models. Remodelled time using manual calculation methods was compared against heuristic optimization methods of SA and GA in showing that model with automatic construction is more realistic in terms of realtime interaction response time. Liver models generated using SA and GA optimization techniques are compared with liver model from manual calculation. It shows that the reconstruction time required for 1000 repetitions of SA and GA is faster than the manual method. Meanwhile comparison between construction time of SA and GA model indicates that model SA is faster than GA with varying rates of time 0.110635 seconds/1000 repetitions. Real-time interaction of mechanical properties is dependent on rate of time and speed of remodelling process. Thus, the SA and GA have proven to be suitable in enhancing realism of simulated real-time interaction in liver remodelling.

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From individual to population: Challenges in medical visualization

Mathematics and Visualization

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Mathematics and visualization 2014年 37卷 265-282页

作者： Botha, C.P. Preim, B. Kaufman, A.E. Takahashi, S. Ynnerman, A. Vxlabs Somerset WestSA South Africa Department of Simulation and Graphics University of Magdeburg Magdeburg Germany Department of Computer Science Stony Brook University NY United States Graduate School of Frontier Sciences The University of Tokyo Tokyo Japan Norrköping Visualization and Interaction Studio Linköping University Linköping Sweden

Due to continuing advances in medical imaging technology, and in medicine itself, techniques for visualizing medical image data have become increasingly important. In this chapter, we present a brief overview of the past 30 years of developments in medical visualization, after which we discuss the research challenges that we foresee for the coming decade. © 2014, Springer-Verlag London.

关键词： visualization

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User-guided Compressed Sensing for Magnetic Resonance Angiography

User-guided Compressed Sensing for Magnetic Resonance Angiog...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Changgong Zhang Martijn van de Giessen Elmar Eisemann Anna Vilanova Section of Computer Graphics and Visualization Delft University of Technology Division of Image Processing Department of Radiology Leiden University Medical Center

ISBN: (纸本)9781424479276

Compressed sensing (CS) magnetic resonance imaging (MRI) enables the reconstruction of MRI images with fewer samples in k-space. One requirement is that the acquired image has a sparse representation in a known transform domain. MR angiograms are already sparse in the image domain. They can be further sparsified through finite-differences. Therefore, it is a natural application for CS-MRI. However, low-contrast vessels are likely to disappear at high under-sampling ratios, since the commonly used l_1 reconstruction tends to underestimate the magnitude of the transformed sparse coefficients. These vessels, however, are likely to be clinically important for medical diagnosis. To avoid the fading of low-contrast vessels, we propose a user-guided CS MRI that is able to mitigate the reduction of vessel contrast within a region of interest (ROI). Simulations show that these low-contrast vessels can be well maintained via our method which results in higher local quality compared to conventional CS.

关键词： Image reconstruction Magnetic resonance imaging Compressed sensing Minimization Angiography Transforms Fading

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An Introduction to Verification of visualization Techniques

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2015年

作者： Tiago Etiene Robert M. Kirby Claudio T. Silva

ISBN: (数字)9781627058346

As we increase our reliance on computer-generated information, often using it as part of our decision-making process, we must devise tools to assess the correctness of that information. Consider, for example, software embedded on vehicles, used for simulating aircraft performance, or used in medical imaging. In those cases, software correctness is of paramount importance as there"s little room for error. Software verification is one of the tools available to attain such goals. Verification is a well known and widely studied subfield of computer science and computational science and the goal is to help us increase confidence in the software implementation by verifying that the software does what it is supposed to do. The goal of this book is to introduce the reader to software verification in the context of visualization. In the same way we became more dependent on commercial software, we have also increased our reliance on visualization software. The reason is simple: visualization is the lens through which users can understand complex data, and as such it must be verified. The explosion in our ability to amass data requires tools not only to store and analyze data, but also to visualize it. This book is comprised of six chapters. After an introduction to the goals of the book, we present a brief description of both worlds of visualization (Chapter 2) and verification (Chapter 3). We then proceed to illustrate the main steps of the verification pipeline for visualization algorithms. We focus on two classic volume visualization techniques, namely, Isosurface Extraction (Chapter 4) and Direct Volume Rendering (Chapter 5). We explain how to verify implementations of those techniques and report the latest results in the field of verification of visualization techniques. The last chapter concludes the book and highlights new research topics for the future.

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visualization in connectomics

Mathematics and Visualization

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Mathematics and visualization 2014年 37卷 221-245页

作者： Pfister, Hanspeter Kaynig, Verena Botha, Charl P. Bruckner, Stefan Dercksen, Vincent J. Hege, Hans-Christian Roerdink, Jos B.T.M. School of Engineering and Applied Sciences Harvard University 33 Oxford St CambridgeMA02138 United States Vxlabs Somerset West South Africa Institute of Computer Graphics and Algorithms Vienna University of Technology Favoritenstraße 9-11/E186 Wien1040 Austria Department of Visualization and Data Analysis Zuse Institute Berlin Takustraße 7 Berlin14195 Germany Johann Bernoulli Institute for Mathematics and Computer Science University of Groningen P.O. Box 407 AK Groningen9700 Netherlands

Connectomics is a branch of neuroscience that attempts to create a connectome, i.e., a completemap of the neuronal system and all connections between neuronal structures. This representation can be used to understand how functional brain states emerge from their underlying anatomical structures and how dysfunction and neuronal diseases arise. We review the current state-of-the-art of visualization and image processing techniques in the field of connectomics and describe a number of challenges. After a brief summary of the biological background and an overview of relevant imaging modalities, we review current techniques to extract connectivity information from image data at macro-, meso- and *** also discuss data integration and neural network modeling, as well as the visualization, analysis and comparison of brain networks. © 2014, Springer-Verlag London.

关键词： visualization

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Riemann-finsler multi-valued geodesic tractography for HARDI 4th

Riemann-finsler multi-valued geodesic tractography for HARDI

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4th Meeting on visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2011

作者： Sepasian, Neda Ten Thije Boonkkamp, Jan H. M. Florack, Luc M. J. Ter Haar Romeny, Bart M. Vilanova, Anna Department of Biomedical Engineering Mathematics and Computer Science Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands Mathematics and Computer Science Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands Department of Biomedical Engineering Eindhoven University of Technology PO Box 513 Eindhoven5600 MB Netherlands Faculty Electrical Engineering Mathematics and Computer Science Computer Graphics and Visualization Delft University of Technology Delft Netherlands

ISBN: (纸本)9783642543005

We introduce a geodesic based tractography method for High Angular Resolution Diffusion Imaging (HARDI). The concepts used are similar to the ones in geodesic based tractography for Diffusion Tensor Imaging (DTI). In DTI, the inverse of the second-order diffusion tensor is used to define the manifold where the geodesics are traced. HARDI models have been developed to resolve complex fiber populations within a voxel, and higher order tensors (HOT) are possible representations for HARDI data. In our framework, we apply Finsler geometry, which extends Riemannian geometry to a directionally dependent metric. A Finsler metric is defined in terms of HARDI higher order tensors. Furthermore, the Euler-Lagrange geodesic equations are derived based on the Finsler geometry. In contrast to other geodesic based tractography algorithms, the multi-valued numerical solution of the geodesic equations can be obtained. This gives the possibility to capture all geodesics arriving at a single voxel instead of only computing the shortest one. Results are analyzed to show the potential and characteristics of our algorithm. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Diffusion tensor imaging

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Visualizing time-dependent key performance indicator in a graph-based analysis

Visualizing time-dependent key performance indicator in a gr...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Stefan Hesse Marcel Spehr Stefan Gumhold Rainer Groh Research & Innovation SAP AG Germany TU Dresden Computer Graphics and Visualization (CGV) lab Dresden Germany Chair of Media Design TU Dresden Dresden Germany

The usage of visual analytics during the analysis of business warehouse calculated key performance indicators is one emerging challenge in modern business applications. On the one hand, a complex network of key performance indicators has to be supervised. On the other hand, within this network only few key performance indicators change obviously within a short period of time. The sole mapping of the complexity of a network of key performance indicators to a graph-based visualization only covers static information and neglects temporal dependencies. We present a new visualization approach for the enrichment of graph-based visualizations of key performance indicator networks by introducing a multi-encoded visualization of additional functional, contextual and temporal information. The should help the user to understand relationships between KPIs and alert him if something is going wrong.

关键词： visualization Correlation Data visualization Business Image color analysis Data warehouses Analytical models

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