Computer Graphics and Visualization › Publications

2012

The preprocessing steps. Left Definition of the contours, Middle Definition of scar (gray zone (in yellow) and core zone (in red)) and Right The composition of the mesh based on the contours in 3D. The last described preprocessing step of indicating the position of the origin of the left main coronary artery is not included in this figure
Corine Godeschalk-Slagboom, Rob van der Geest, Katja Zeppenfeld, and Charl P. Botha
Cardiac MRI visualization for ventricular tachycardia ablation
International Journal of Computer Assisted Radiology and Surgery, 2012
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Standard 4,0962 shadow map with perspective warping, rendering at 64 FPS (left). QVSM with a maximum refinement level of 32 × 32 and 1,0242 tiles, rendering at 32 FPS (right). Adaptive subdivision effectively removes aliasing in cases that are difficult for reparametrization and global partitioning methods.
Elmar Eisemann, Ulf Assarsson, Michael Schwarz, Michal Valient, and Michael Wimmer
Efficient real-time shadows
In Proceedings of SIGGRAPH Courses, 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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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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An example of our randomly generated search space, consisting of interconnected “chambers.” The high-level graph is represented in blue.
Sandy Brand and Rafael Bidarra
Multi-core scalable and efficient pathfinding with Parallel Ripple Search
Comput Animat Virtual Worlds, 2012
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Fiber-tracking results for the corpus callosum, using stream-line (a) or geodesics via the raytracing method (b).
N. Sepasian, J.H.M. ten Thije Boonkkamp, B.M. ter Haar Romeny, and Anna Vilanova
Multivalued Geodesic Ray-Tracing for Computing Brain Connections Using Diffusion Tensor Imaging
SIAM J Imaging Sci, 2012
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Potential blockers (orange) for rays going from s to T are found in the shaft-like shape (green).
Lionel Baboud, Elmar Eisemann, and Hans-Peter Seidel
Precomputed Safety Shapes for Efficient and Accurate Height-Field Rendering
IEEE Transactions on Visualization and Computer Graphics, 2012
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Heatmaps for Case 2. The left map uses the same color scheme as the heatmaps in Figure 5; in the right map, blue traces are males and pink traces are females.
Nick Kraayenbrink, Jassin Kessing, Tim Tutenel, Gerwin de Haan, Fernando Marson, et al.
Semantic Crowds: Reusable Population for Virtual Worlds
In Proceedings of VS-GAMES, 2012
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Ray-traced colored models: bottle (left), vase (middle), coffee mug (left top), and the same model registered in inverse ordering (left bottom)
Ricardo Marroquim, Gustavo Pfeiffer, Felipe de Carvalho, and Antonio Oliveira
Texturing 3D models from sequential photos
Vis Comput, 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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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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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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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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3D model “Bottle” and “Balloon vehicle”
Xin Zhang, Tim Tutenel, Rong Mo, Rafael Bidarra, and Willem F. Bronsvoort
A Method for Specifying Semantics of Large Sets of 3D Models
In Proceedings of GRAPP, 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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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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