Computer Graphics and Visualization › Publications

2012

Real-time rendering applications exhibit a considerable amount of spatio-temporal coherence. This is true for camera motion, as in the Parthenon sequence (left), as well as animated scenes such as the Heroine (middle) and Ninja (right) sequences. Diagrams to the right of each rendering show disoccluded points in red, in contrast to points that were visible in the previous frame, which are shown in green (i.e. green points are available for reuse). [Images courtesy of Advanced Micro Devices, Inc., Sunnyvale, California, USA]
Daniel Scherzer, Lei Yang, Oliver Mattausch, Diego Nehab, Pedro V. Sander, et al.
Temporal Coherence Methods in Real-Time Rendering
Computer Graphics Forum, 2012
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FU maps for multichannel EEG coherence visualization. Brain responses were collected from three subjects using an EEG cap with 119 scalp electrodes. During a so-called P300 experiment, each participant was instructed to count target tones of 2000Hz (probability 0.15), alternated with standard tones of 1000Hz (probability 0.85) which were to be ignored. After the experiment, the participant had to report the number of perceived target tones. Shown are FU maps for target stimuli data, with FUs larger than 5 cells, for the 1-3Hz EEG frequency band (top row) and for 13-20Hz (bottom row), for three datasets.
Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner, V. J. Dercksen, et al.
Visualization in Connectomics
CoRR, 2012
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A 3D model of the relevant vascular anatomy is surrounded by map views that display scalar flow features of five sides (features at the left, right, bottom, and up side are shown at the corresponding ring portions). Scalar features of the backside are shown at the most right display. The lines pointing from the map portions to the 3D view indicate correspondences, where scalar features are shown in both views. If the user drags a point, representing an interesting feature from a map view to the center, the anatomical model is rotated to make that region visible. All map views change accordingly.
Anna Vilanova, Bernhard Preim, R.F.P. van Pelt, R. Gasteiger, M. Neugebauer, and Thomas Wischgoll
Visual Exploration of Simulated and Measured Blood Flow
CoRR, 2012
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Overview of the visualization framework, based on spatiotemporal hierarchical clustering. The gray dashed arrows depict pre-processing steps. (1) A tMIP volume is generated, and (2) an iso-threshold captures the voxels that are clustered. (3) Next, the cluster hierarchy is constructed. (4) Using the cluster tree, labels are generated per cardiac phase. After preprocessing, the real-time visualization is generated using the available data structures, as depicted by the solid blue arrow.
R.F.P. van Pelt, S.S.A.M. Jacobs, B.M. ter Haar Romeny, and Anna Vilanova
Visualization of 4D Blood-Flow Fields by Spatiotemporal Hierarchical Clustering
Computer Graphics Forum, 2012
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Significant functional connectivity clusters for (a) the right and (b) the left atlas-based STN ROIs, shown on three coronal slices of the MNI152 template. The yellow lines on the axial image on the left-hand side show the position of the coronal slices. Red clusters exhibit positive regression coefficients, while blue clusters yield negative coefficients
E.J.L. Brunenberg, P. Moeskops, W.H. Backes, C. Pollo, L. Cammoun, et al.
Structural and resting state functional connectivity of the subthalamic nucleus: identification of motor STN parts and the hyperdirect pathway
PLoS One, 2012
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Lionel Baboud and Elmar Eisemann
Efficient and Accurate Terrain Rendering
In Proceedings of Intel Developers Forum, 2012
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Orthopaedic workflow for hip prosthesis replacement: A 3D CT-scan (a) is segmented into labels (b). This discrete volume image is converted to a volume mesh (c). Based on medical simulations (d) [1], optimal implant design and positioning can be determined.
Christian Kehl, Daniel F. Malan, and Elmar Eisemann
Conformal multi-material mesh generation from labelled medical volumes
In Proceedings of 3D NordOst Workshop, 2012
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Example of a femur equipped with thermocouples, a close up of the measurement location.
Gert Kraaij, Daniel F. Malan, Huub J. L. van der Heide, Jenny Dankelman, Rob. G. H. H. Nelissen, and Edward R. Valstar
Comparison of Ho:YAG laser and coblation for interface tissue removal in minimally invasive hip refixation procedures
Med Eng Phys, 2012
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R.F.P. van Pelt, H. Nguyen, B.M. ter Haar Romeny, and Anna Vilanova
Automated segmentation of blood-flow regions in large thoracic arteries using 3D-cine PC-MRI measurements
International Journal of Computer Assisted Radiology and Surgery, 2012
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Example of hybrid visualization of CSD [6] and 2nd order ODFs
V. Prckovska, M. Descoteaux, C. Poupon, B.M. ter Haar Romeny, and Anna Vilanova
Classification study of DTI and HARDI 1 anisotropy measures for HARDI data 2 simplification
New developments in the visualization and processing of tensor fields, 2012
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Saggital view of DT ellipsoids generated for a healthy Human Brain
N. Sepasian, J.H.M. ten Thije Boonkkamp, and Anna Vilanova
Multivalued Geodesic Ray-Tracing for Computing Brain Connections Using Diffusion Tensor Imaging
SIAM J Imaging Sci, 2012
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A distance query returns all information related to the structures inside the sphere.
Noeska Natasja Smit, Anne C. Kraima, Daniel Jansma, Marco C. Deruiter, and Charl P. Botha
The unified anatomical human (beta): model-based representation of heterogeneous anatomical data
In Proceedings of 3D Physiological Human Workshop, 2012
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A screenshot of an interactive simulation with GALES. The 3D cloud field visualization is shown using volume rendering. During the simulation, the visualization can be actively zoomed and rotated to directly obtain insight into the simulation process.
Jerome Schalkwijk, Eric Griffith, Frits H. Post, and H.J.J. Jonker
High performance simulations of turbulent clouds on a desktop PC: exploiting the GPU
Bulletin of the American Meteorological Society (BAMS), 2012
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Collagen fibers in the adventitia of the carotid artery (sample 1). The same area was imaged at different pressure steps from 0 to 140 mm Hg; eight intermediate steps are shown. The gradual straightening of (individual) fibers is observed. The biggest configuration change mainly occurs between 40 and 80 mm Hg.
J.T.C. Schrauwen, Anna Vilanova, R. Rezakhaniha, N. Stergiopulos, F.N. van de Vosse, and P.H.M. Bovendeerd
A method for the quantification of the pressure dependent 3D collagen configuration in the arterial adventitia
Journal of Structural Biology, 2012
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An overview of the application window with two datasets. Each dataset is opened in its own child window. Each child window contains of three views: the pixmap view on the top-left, the slice views on the top right and the anatomical view on the bottom.
Andre F. van Dixhoorn, Julien Milles, Baldur van Lew, and Charl P. Botha
BrainCove: A Tool for Voxel-wise fMRI Brain Connectivity Visualization
In Proceedings of Visual Computing in Biology and Medicine, 2012
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Editing huge game worlds in the Crytek Sandbox 2 editor can become very complex
Tim Tutenel
Semantic game worlds
PhD Thesis, 2012
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3D FT superimposed on 2D ADC maps. A, Whole-brain FT results, in a preterm infant at TEA. View from the front left. B, Definition of PLIC ROIs. View from the top (on the axial plane). ROIs superimposed on an FA-weighted color map. C, Definition of CC ROIs. View from the left (on the sagittal plane). ROIs superimposed on an FA-weighted color map. D, PLIC fiber bundle. View from the right (on the sagittal plane). ROIs superimposed on an FA-weighted color map. E, CC fiber bundle. View from the front left (on the sagittal plane). ROIs superimposed on an ADC map. CST indicates the corticospinal tract; CR, the corona radiata; FX, the fornix; CG, the cingulum
C. van Pul, B. van Kooij, L. de Vries, M. Benders, Anna Vilanova, and F. Groenendaal
Quantitative fiber tracking in the corpus callosum and internal capsule reveals microstructural abnormalities in preterm infants at term-equivalent age
AJNR Am J Neuroradiol, 2012
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Example of a transformation into a multi-component target
Marcelo Renhe, Antonio Oliveira, Claudio Esperança, and Ricardo Marroquim
Enhanced Target Driven Smoke Morphing
In Proceedings of SIBGRAPI, 2012
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Left: Brute force method. Center: Hierarchical template matching. Right: Floating Texture’s optical flow implementation
Matteo Dellepiane, Ricardo Marroquim, Marco Callieri, Paolo Cignoni, and Roberto Scopigno
Flow-Based Local Optimization for Image-to-Geometry Projection
IEEE Transactions on Visualization and Computer Graphics, 2012
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Two examples of interactive visualizations made with the volume renderer of Kroes et al.
Charl P. Botha, Bernhard Preim, Arie Kaufman, Shigeo Takahashi, and Anders Ynnerman
From individual to population: Challenges in Medical Visualization
CoRR, 2012
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