Scientific Visualization and Computer Graphics > CS > JBI > FWN > RUG

IMOVIS, Subproject 2: Visualization and Analysis of Diffusion Tensor Data

The goal of the project is to develop and improve visualization of large 3D datasets, in particular medical Diffusion Tensor data.

People

Recent results

Example of non-photorealistic visualization: using depth-dependent line halos to create interactive and animated illustrative visualizations of dense line data such as DTI fiber tracts or particle traces from fluid simulations.

The additional illustrative visualization of the surface of the brain and skull adds context to DTI fiber tract depictions.


   

Funding

Netherlands Organization for Scientific Research (NWO). This project is part of NWO's VIEW Program: Visual Interactive Effective Worlds, theme Interactive Data Visualization (project 643.100.501).

Collaboration

The Visualisation and Interactive Systems Institute, University of Stuttgart (headed by Professor Thomas Ertl).

Publications

Pjotr Svetachov, Maarten H. Everts, and Tobias Isenberg. DTI in Context: Illustrating Brain Fiber Tracts In Situ. Computer Graphics Forum, 29(3):1024–1032, June 2010.   doi
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Maarten H. Everts, Henk Bekker, and Jos B.T.M. Roerdink. Visualizing White Matter Structure of the Brain using Dijkstra’s Algorithm. In Peter Zinterhof, Sven Lončarić, Andreas Uhl, and Alberto Carini, eds., Proc. 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009, September 16–18, Salzburg, Austria). Pages 575–580, 2009.   pdf
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Maarten H. Everts, Henk Bekker, Jos B.T.M. Roerdink, and Tobias Isenberg. Illustrative Rendering of Dense Line Data using Depth-Dependent Halos. In SIREN: Scientific ICT Research Event Netherlands, (November 5, 2009, University of Twente, The Netherlands). 2009. Poster. Best Poster Award at SIREN 2009.   pdf
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Maarten H. Everts, Henk Bekker, Jos B.T.M. Roerdink, and Tobias Isenberg. Depth-Dependent Halos: Illustrative Rendering of Dense Line Data. IEEE Transactions on Visualization and Computer Graphics, 15(6):1299–1306, November/December 2009. Best Paper Award at IEEE Visualization 2009.   doi
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Maarten H. Everts, Henk Bekker, and Jos B.T.M. Roerdink. Graph Algorithms for Fast Preview of Global Brain White Matter Structure. In SIREN: Scientific ICT Research Event Netherlands, 29 September 2008, VU Amsterdam. 2008. Poster.   pdf
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Maarten H. Everts, Henk Bekker, Adrei Jalba, and Jos B.T.M. Roerdink. Particle Based Image Segmentation with Simulated Annealing. In Proceedings of the Thirteenth Annual Conference of the Advanced School for Computing and Imaging (ASCI CONFERENCE 2007, June 13–15, 2007, Het Heijderbos, Heijen, The Netherlands). 2007.   pdf
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Maarten H. Everts, Henk Bekker, Adrei Jalba, and Jos B.T.M. Roerdink. Particle Based Image Segmentation with Simulated Annealing. In SIREN: Scientific ICT Research Event Netherlands, 30 October 2007, TU Delft. 2007. Poster.   pdf
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