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A SYSTEMATIC APPROACH TO MULTIPLE DATASETS VISUALIZATION OF SCALAR VOLUME DATA
english

2006 Proceedings of the First International Conference on Computer Graphics Theory and Applications   unpublished
Such multiple dataset visualization (MDV) has to handle and render massive amounts of data concurrently.  ...  We analyze the performance of two widely used techniques, namely, isosurface extraction and texture-based rendering for visualization of multiple sets of the scalar volume data.  ...  Two natural approaches to the multiple dataset visualization appear to be a) an extension of the standard visualization methods to handle multiple datasets and b) a parallel processing (using multiple  ... 
doi:10.5220/0001353200590066 fatcat:kqd5nrewifdufb64rhb7bzcmsa

Colliding galaxies, rotating neutron stars and merging black holes—visualizing high dimensional datasets on arbitrary meshes

Werner Benger
2008 New Journal of Physics  
This approach is discussed within the terminology of fiber bundles as a general mathematical concept to model scalar-, vector-and tensorfields given on topological spaces (with manifolds as a particular  ...  Visualization of datasets stemming from diverse sources is challenged by the large variety of substantial differences in topology, geometry and nature of the associated data fields.  ...  SPH dataset of the colliding galaxies; Dr Burkhard Zink, LSU, for providing the multipatch dataset of the neutron star; Dr Erik Schnetter, LSU, for providing the AMR dataset of the merging black holes  ... 
doi:10.1088/1367-2630/10/12/125004 fatcat:hoo3t54af5attotoly4tb47xkq

Feature-Driven Volume Fairing [chapter]

Shigeo Takahashi, Jun Kobayashi, Issei Fujishiro
2009 Lecture Notes in Computer Science  
This paper introduces a new framework, called feature-driven volume fairing, which transforms any 3D scalar field into a canonical form to be used as communication media of scientific volume data.  ...  This framework allows us to elucidate spatial structures in the volume instantly using a predefined set of visualization parameters, and further enables data compression of the volume with a smaller number  ...  The key tool to our approach is the contour tree that enables systematic transformation of the given scalar field by accounting for the topological evolution of isosurfaces.  ... 
doi:10.1007/978-3-642-02115-2_20 fatcat:myxa7cilkrclfcbbqtar6bp2g4

Volumetric Normal Mapping in Rendering of Multivariate Volume Data [article]

Stefan Seipel
2007 Eurographics State of the Art Reports  
The work presented in this paper introduces volumetric normal maps for producing visual structure in direct volume rendering (DVR) of 3D data for the purpose of visualizing multiple attributes in a 3D  ...  We use volumetric normal maps to represent normal vector glyphs that are subsequently applied to warp the gradients in the primary volume data.  ...  visual pattern when applied to rendering of the volume data.  ... 
doi:10.2312/egs.20071031 fatcat:kps4y64nxve2joyzpvmalgpkfm

A Review of Three-Dimensional Medical Image Visualization

Liang Zhou, Mengjie Fan, Charles Hansen, Chris R. Johnson, Daniel Weiskopf
2022 Health Data Science  
Our paper provides a review of 3D visualization techniques for medical images, intending to bridge the gap between medical experts and visualization researchers. Highlights.  ...  We summarize fundamental techniques and readily available visualization tools to help medical experts to better understand and utilize medical imaging data.  ...  Acknowledgments This research was supported by the Data for Better Health Project of Peking University-Master Kong and by NIH (R01 EB031872).  ... 
doi:10.34133/2022/9840519 fatcat:hycrnxhbbjg7bhrlafdhmamzpe

Generative Data Models for Validation and Evaluation of Visualization Techniques

Christoph Schulz, Miriam Butt, Daniel A. Keim, Thomas Ertl, Ulrik Brandes, Daniel Weiskopf, Arlind Nocaj, Mennatallah El-Assady, Steffen Frey, Marcel Hlawatsch, Michael Hund, Grzegorz Karch (+2 others)
2016 Proceedings of the Beyond Time and Errors on Novel Evaluation Methods for Visualization - BELIV '16  
We argue that there is a need for substantially more research on the use of generative data models in the validation and evaluation of visualization techniques.  ...  Depending on the visualization domain, many generative data models are "side projects" as part of an ad-hoc validation of a techniques paper and thus neither reusable nor general-purpose.  ...  Scalar Field Visualization Scalar fields assign a single (scalar) data value to each point of a dataset.  ... 
doi:10.1145/2993901.2993907 dblp:conf/beliv/SchulzNEFHHKNSB16 fatcat:axyikya6efejtpeqvdxa4wshja

Positional Uncertainty of Isocontours: Condition Analysis and Probabilistic Measures

Kai Pothkow, Hans-Christian Hege
2011 IEEE Transactions on Visualization and Computer Graphics  
Finally, we adapt interactive visualization methods to evaluate and display these measures and apply them to 2D and 3D data sets.  ...  To create a continuous representation suitable for visualization we introduce interpolated probability density functions.  ...  We are also grateful for the provision of datasets by Bert G ünther (airfoil), Stefan Zachow (middle ear), the ECMWF [50] (temperature field) and -in memoriam -Dirk Bartz (fuel dataset).  ... 
doi:10.1109/tvcg.2010.247 pmid:21041883 fatcat:ahan6bgqzfghhev2jnjqkdihyu

Introducing topological attributes for objective-based visualization of simulated datasets

Y. Takeshima, S. Takahashi, I. Fujishiro, G.M. Nielson
2005 International Workshop on Volume Graphics, Proceedings of the  
This paper therefore presents an objective-based framework for visualizing simulated volume datasets by introducing a new set of topological attributes.  ...  The present framework provides a systematic means of emphasizing the underlying volume features, such as nested structures of isosurfaces, configuration of isosurface trajectories, and transitions of isosurface's  ...  Acknowledgements The authors would like to thank Prof. Hitoshi Sakagami at University of Hyogo to let us use the implosion datasets in Section 5.2 and provide many valuable comments.  ... 
doi:10.1109/vg.2005.194108 fatcat:ugsery73k5bnrdwknfysntl7xi

Introducing Topological Attributes for Objective-Based Visualization of Simulated Datasets [article]

Yuriko Takeshima, Shigeo Takahashi, Issei Fujishiro, Gregory M. Nielson
2005 International Workshop on Volume Graphics, Proceedings of the  
This paper therefore presents an objective-based framework for visualizing simulated volume datasets by introducing a new set of topological attributes.  ...  The present framework provides a systematic means of emphasizing the underlying volume features, such as nested structures of isosurfaces, configuration of isosurface trajectories, and transitions of isosurface's  ...  Acknowledgements The authors would like to thank Prof. Hitoshi Sakagami at University of Hyogo to let us use the implosion datasets in Section 5.2 and provide many valuable comments.  ... 
doi:10.2312/vg/vg05/137-145 fatcat:jzh5bwdkhjf5tjzd3quaojegwm

Efficient Visualization of Large Medical Image Datasets on Standard PC Hardware [article]

V. Pekar, D. Hempel, G. Kiefer, M. Busch, J. Weese
2003 EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization  
Fast and accurate algorithms for medical image processing and visualization are becoming increasingly important due to routine acquisition and processing of rapidly growing amounts of data in clinical  ...  We present an efficient volume rendering approach using the example of maximum intensity projection (MIP), which is an important clinical tool.  ...  Flamm of St. Luke's Episcopal Hospital, Houston, for providing the MRA dataset and Dr. Rogalla of Charité Hospital, Berlin, for providing the thorax CT data.  ... 
doi:10.2312/vissym/vissym03/135-140 fatcat:w6snnavkr5am5kpossjqxgbw2m

Biomedical Visualization [chapter]

Chris R. Johnson, Xavier Tricoche
2009 Advances in Biomedical Engineering  
Direct volume rendering Direct volume rendering is a method of displaying three-dimensional volumetric scalar data as two-dimensional images and is probably one of the simplest ways to visualize volume  ...  A common visualization goal in volume rendering is the depiction of the interface between two different materials in a volume dataset.  ... 
doi:10.1016/b978-0-444-53075-2.00006-x fatcat:ewd3kgeki5fthj55kfoce6bkcm

State of the Art in Transfer Functions for Direct Volume Rendering

Patric Ljung, Jens Krüger, Eduard Groller, Markus Hadwiger, Charles D. Hansen, Anders Ynnerman
2016 Computer graphics forum (Print)  
The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied.  ...  A central topic in scientific visualization is the transfer function (TF) for volume rendering.  ...  Figure 3 shows a standard application of a TF to a data volume with a single scalar.  ... 
doi:10.1111/cgf.12934 fatcat:wcmeh3op6zcybglg6mjdyn6qy4

A survey on visual analysis of ocean data

Cui Xie, Mingkui Li, Haoying wang, Junyu Dong
2019 Visual Informatics  
Interactive visual analysis serves as an efficient complementary approach for the detection of various phenomena or patterns, and correlation exploring or comparing multiple variables in researchers daily  ...  A major challenge in analysis of huge amounts of ocean data is the complexity of the data and the inherent complexity of ocean dynamic processes.  ...  Acknowledgments The authors wish to acknowledge the financial support from the National Natural Science Foundation of China (No. 41706010, U1706218,41576011), the Major Research plan of the National Natural  ... 
doi:10.1016/j.visinf.2019.08.001 fatcat:lnf2ixaegjhzjcz3tumnwhgjam

Topological volume skeletonization and its application to transfer function design

Shigeo Takahashi, Yuriko Takeshima, Issei Fujishiro
2004 Graphical Models  
Topological volume skeletonization is a novel approach for automating transfer function design in visualization by extracting the topological structure of a volume dataset.  ...  Visually pleasing results of volume visualization demonstrate the feasibility of the present approach.  ...  [6] applied a sequence of 3D image processing procedures to an input volume in order to directly visualize the processed data with ordinary TFs.  ... 
doi:10.1016/j.gmod.2003.08.002 fatcat:zulebcay6rbqtfwkeyjczzwe4m

Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models

Elizabeth B. Hutchinson, Alexandru V. Avram, M. Okan Irfanoglu, C. Guan Koay, Alan S. Barnett, Michal E. Komlosh, Evren Özarslan, Susan C. Schwerin, Sharon L. Juliano, Carlo Pierpaoli
2017 Magnetic Resonance in Medicine  
Purpose: This study was a systematic evaluation across different and prominent diffusion MRI models to better understand the ways in which scalar metrics are influenced by experimental factors, including  ...  the scalar metrics generated using DWI datasets obtained in fixed mouse brain with different noise levels and DWI sampling complexity.  ...  Jackson Foundation for the Advancement of Military Medicine, Inc. for administration.  ... 
doi:10.1002/mrm.26575 pmid:28090658 pmcid:PMC6084345 fatcat:cfkwrg4rofhrtbsdeg6r5uzbiu
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