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LiveSync++: enhancements of an interaction metaphor
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Source
GI; Vol. 322 archive
Proceedings of graphics interface 2008 table of contents
Windsor, Ontario, Canada
SESSION: Visualization 1 table of contents
Pages 81-88  
Year of Publication: 2008
ISBN ~ ISSN:0713-5424 , 978-1-56881-423-0
Authors
Peter Kohlmann  Vienna University of Technology
Stefan Bruckner  Vienna University of Technology
Armin Kanitsar  AGFA HealthCare
M. Eduard Gröller  Vienna University of Technology
Sponsor
: The Canadian Human-Computer Communications Society / Société Canadienne du Dialogue Humaine Machine (CHCCS/SCDHM)
Publisher
Canadian Information Processing Society  Toronto, Ont., Canada, Canada
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ABSTRACT

The LiveSync interaction metaphor allows an efficient and nonintrusive integration of 2D and 3D visualizations in medical workstations. This is achieved by synchronizing the 2D slice view with the volumetric view. The synchronization is initiated by a simple picking on a structure of interest in the slice view. In this paper we present substantial enhancements of the existing concept to improve its usability. First, an efficient parametrization for the derived parameters is presented, which allows hierarchical refinement of the search space for good views. Second, the extraction of the feature of interest is performed in a way, which is adapting to the volumetric extent of the feature. The properties of the extracted features are utilized to adjust a predefined transfer function in a feature-enhancing manner. Third, a new interaction mode is presented, which allows the integration of more knowledge about the user-intended visualization, without increasing the interaction effort. Finally, a new clipping technique is integrated, which guarantees an unoccluded view on the structure of interest while keeping important contextual information.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
OsiriX Medical Imaging Software. Available online at http://www.osirix-viewer.com, December 2007.
 
2
U. D. Bordoloi and H.-W. Shen. View selection for volume rendering. In Proceedings of IEEE Visualization 2005, pages 487--494, 2005.
 
3
P. Bourke. Distributing Points on a Sphere. Available online at http://local.wasp.uwa.edu.au/~pbourke/geometry/spherepoints/, December 2007.
 
4
 
5
M.-Y. Chan, H. Qu, Y. Wu, and H. Zhou. Viewpoint selection for angiographic volume. In Proceedings of the Second International Symposium on Visual Computing 2006, pages 528--537, 2006.
 
6
K. M. Górski, E. Hivon, A. J. Banday, B. D. Wandelt, F. K. Hansen, M. Reinecke, and M. Bartelmann. Healpix: A framework for highresolution discretization and fast analysis of data distributed on the sphere. The Astrophysical Journal, 622:759--771, 2005.
 
7
 
8
R. Huang, H. Yu, K.-L. Ma, and O. Staadt. Automatic feature modeling techniques for volume segmentation applications. In Proceedings of IEEE/Eurographics International Symposium on Volume Graphics 2007, pages 99--106, 2007.
9
 
10
 
11
P. Leopardi. A partition of the unit sphere into regions of equal area and small diameter. Electronic Transactions on Numerical Analysis, 25:309--327, 2006.
 
12
S. Marchesin, J.-M. Dischler, and C. Mongenet. Feature enhancement using locally adaptive volume rendering. In Proceedings of IEEE/Eurographics International Symposium on Volume Graphics 2007, pages 41--48, 2007.
 
13
K. Mühler, M. Neugebauer, C. Tietjen, and B. Preim. Viewpoint selection for intervention planning. In Proceedings of Eurographics/IEEE VGTC Symposium on Visualization 2007, pages 267--274, 2007.
14
 
15
 
16
S. Takahashi, I. Fujishiro, Y. Takeshima, and T. Nishita. A featuredriven approach to locating optimal viewpoints for volume visualization. In Proceedings of IEEE Visualization 2005, pages 495--502, 2005.
 
17
M. Tory and C. Swindells. Comparing ExoVis, orientation icon, and in-place 3D visualization techniques. In Proceedings of Graphics Interface 2003, pages 57--64, 2003.
 
18
F.-Y. Tzeng and K.-L. Ma. A cluster-space visual interface for arbitrary dimensional classification of volume data. In Proceedings of Joint Eurographics - IEEE TCVG Symposium on Visualization 2004, pages 17--24, 2004.
 
19
 
20
 
21
 
22
J. Zhou, M. Hinz, and K. D. Tönnies. Focal region-guided featurebased volume rendering. In Proceedings of the 1st International Symposium on 3D Data Processing, Visualization, and Transmission 2002, pages 87--90, 2002.

Collaborative Colleagues:
Peter Kohlmann: colleagues
Stefan Bruckner: colleagues
Armin Kanitsar: colleagues
M. Eduard Gröller: colleagues