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Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation
November/December 2007 (vol. 13 no. 6)
pp. 1648-1655
Direct Volume Rendering has proved to be an effective visualization method for medical data sets and has reached wide-spread clinical use. The diagnostic exploration, in essence, corresponds to a tissue classification task, which is often complex and time-consuming. Moreover, a major problem is the lack of information on the uncertainty of the classification, which can have dramatic consequences for the diagnosis. In this paper this problem is addressed by proposing animation methods to convey uncertainty in the rendering. The foundation is a probabilistic Transfer Function model which allows for direct user interaction with the classification. The rendering is animated by sampling the probability domain over time, which results in varying appearance for uncertain regions. A particularly promising application of this technique is a “sensitivity lens” applied to focus regions in the data set. The methods have been evaluated by radiologists in a study simulating the clinical task of stenosis assessment, in which the animation technique is shown to outperform traditional rendering in terms of assessment accuracy.

[1] S. Djurcilov, K. Kim, P. F. J. Lermusiaux, and A. Pang, Volume rendering data with uncertainty information. In D. Ebert, J. Favre, and R. Peikert, editors, Data Visualization '01, pages 243–252, 355–356. Springer, 2001.
[2] R. A. Drebin, L. Carpenter, and P. Hanrahan, Volume rendering. In Proceedings of Computer Graphics and Interactive Techniques, volume 22, pages 65–74. ACM SIGGRAPH, 1988.
[3] C. R. Ehlschlaeger, A. M. Shortridge, and M. F. Goodchild, Visualizing spatial data uncertainty using animation. Computers & Geosciences, 23: 387–395, May 1997.
[4] K. Engel, M. Hadwiger, J. Kniss, C. Rezk-Salama, and D. Weiskopf, Real-Time Volume Graphics. A.K. Peters, Ltd, 2006.
[5] N. D. Gershon, Visualization of fuzzy data using generalized animation. In Proceedings of IEEE Visualization '92, pages 268–273, 1992.
[6] G. Grigoryan and P. Rheingans, Point-based probabilistic surfaces to show surface uncertainty. IEEE Transactions on Visualization and Computer Graphics, 10: 564–573, 2004.
[7] C. D. Hansen and C. R. Johnson, editors. The Visualization Handbook. Elsevier Butterworth-Heinemann, 2005.
[8] T. Hengl, Visualisation of uncertainty using the HSI colour model: computations with colours. In Proceedings of the 7th International Conference on GeoComputation, pages 8–17, 2003.
[9] C. Johnson, Top scientific visualization research problems. IEEE Computer Graphics and Applications, 24 (4): 13–17, July/August 2004.
[10] G. Kindlmann, R. Whitaker, T. Tasdizen, and T. Möller, Curvature-based transfer functions for direct volume rendering: Methods and applications. In Proceedings IEEE Visualization 2003, pages 513–520, 2003.
[11] J. M. Kniss, R. V. Uitert, A. Stevens, G.-S. Li, T. Tasdizen, and C. Hansen, Statistically quantitative volume visualization. In Proceedings IEEE Visualization 2005, pages 287–294, 2005.
[12] C. Lundström, P. Ljung, and A. Ynnerman, Extending and simplifying Transfer Function design in medical Volume Rendering using local histograms. In Proceedings EuroGraphics/IEEE Symposium on Visualization 2005, pages 263–270, 2005.
[13] C. Lundström, P. Ljung, and A. Ynnerman, Local histograms for design of Transfer Functions in Direct Volume Rendering. IEEE Transactions on Visualization and Computer Graphics, 12: 1570–1579, Nov/Dec 2006.
[14] A. T. Pang, C. M. Wittenbrink, and S. K. Lodha, Approaches to uncertainty visualization. The Visual Computer, 13: 370–390, November 1997.
[15] A. Persson, N. Dahlström, L. Engellau, E.-M. Larsson, T. Brismar, and Ö. Smedby, Volume rendering compared with maximum intensity projection for magnetic resonance angiography measurements of the abdominal aorta. Acta Radiologica, 45: 453–459, 2004.
[16] P. Rheingans and S. Joshi, Visualization of molecules with positional uncertainty. In E. Gröller, H. Löffelmann, and W. Ribarsky, editors, Data Visualization '99, pages 299–306. Springer-Verlag Wien, 1999.
[17] P. J. Rhodes, R. S. Laramee, R. D. Bergeron, and T. M. Sparr, Uncertainty visualization methods in isosurface rendering. In M. Chover, H. Hagen, and D. Tost, editors, Eurographics 2003, Short Papers, pages 83–88, 2003.
[18] T. Zuk and S. Carpendale, Theoretical analysis of uncertainty visualizations. In R. F. Erbacher, J. C. Roberts, M. T. Gröhn, and K. Börner, editors, Visualization and Data Analysis 2006, volume 6060.

Index Terms:
Uncertainty, probability, medical visualization, volume rendering, transfer function
Citation:
Claes Lundström, Patric Ljung, Anders Persson, Anders Ynnerman, "Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1648-1655, Nov.-Dec. 2007, doi:10.1109/TVCG.2007.70608
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