Abstract
There are two important factors to visualize ultrasound datasets using volume ray casting method. Firstly, efficient methods to skip over empty space are required. Secondly, adequate noise-detection methods are necessary because ultrasound datasets contain lots of speckle noises. In general, space-leaping and noise-filtering methods are exploited to solve the problems. However, it increases the preprocessing time to generate the filtered datasets, and interesting (meaningful) objects could be affected by a filtering operation. We propose a hierarchical octree containing min-max values and standard deviation for each block, named a hierarchical σ–octree. In rendering step, our method refers to min-max values of a block. If the block is regarded as nontransparent, it also checks its standard deviation value to detect speckle noises. Our method reduces rendering time compared with the method using only the min-max values because most blocks containing speckle noises are considered as transparent.
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Krishnamurthy, B., Bajaj, C.: Data Visualization Techniques, 1st edn. John Wiley & Sons, Chichester (1999)
Kaufman, A.: Volume Visualization, 1st edn. IEEE Computer Society Press, Los Alamitos (1991)
Baba, K., Jurkovic, D.: Three-Dimensional Ultrasound in Obstetrics and Gynecology. Progress in Obstetric and Gynecological Sonography Series. The Parthenon Publishing Group (1997)
Fattal, R., Lischinski, D.: Variational Classification for Visualization of 3D Ultrasound Data. In: Proc. Visualization 2001, pp.403-410 (2001)
Sakas, G., Walter, S.: Extracting Surfaces from Fuzzy 3D-Ultrasound Data. In: Cook, R. (ed.) Proc. SIGGRAPH 1995, pp. 465–474 (1995)
Sakas, G., Schreyer, L.A., Grimm, M.: Preprocessing and Volume Rendering of 3D Ultra-sonic Data. IEEE Computer Graphics and Applications 15(4), 47–54 (1995)
Shamdasani, V., Bae, U., Managuli, R., Kim, Y.: Improving the Visualization of 3D Ultra-sound Data with 3D Filtering. In: Proc. SPIE, vol. 5744, pp. 455–461 (2005)
Levoy, M.: Efficient Ray Tracing of Volume Data. ACM Transactions on Graphics 9, 245–261 (1990)
Danskin, J., Hanrahan, P.: Fast Algorithms for Volume Ray Tracing. In: Proc. Volume visualization 1992, pp. 91–98 (1992)
Wilhelms, J., Gelder, A.V.: Octree for Faster Isosurface Generation. ACM Transactions on Graphics 11(3), 201–227 (1992)
Parker, S., Shirley, P., Livnat, Y., Hansen, C., Sloan, P.: Interactive Ray Tracing for Iso-surface Rendering. In: Proc. IEEE Visualization 1998, pp. 233–238 (1998)
Knittel, G.: The UltraVis System. In: Proc. IEEE Volume Visualization 2000, pp. 71–79 (2000)
Mora, B., Jessel, J., Caubet, R.: A New Object Order Ray-casting Algorithm. In: Proc. IEEE Volume Visualization 2002, pp. 203–210 (2002)
Grimm, S., Bruckner, S., Kanitsar, A., Gröller, E.: Memory Efficient Acceleration Struc-tures and Techniques for CPU-based Volume Raycasting of Large Data. In: Proc. IEEE Volume Visualization 2004, pp. 1–8 (2004)
Lim, S., Shin, B.: Reliable Space Leaping Using Distance Template. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds.) ISBMDA 2004. LNCS, vol. 3337, pp. 60–66. Springer, Heidelberg (2004)
Hadwiger, M., Sigg, C., Scharsach, H., Buhler, K., Gross, M.: Real-time Ray-casting and Advanced Shading of Discrete Isosurfaces. Graphics Forum 24(3), 303–312 (2005)
Lim, S., Shin, B.: RPO: A Reverse-Phased Hierarchical Min-Max Octree for Efficient Space-Leaping. In: Proc. Pacific Graphics 2005, pp. 145–147 (2005)
Lim, S., Shin, B.: Efficient Space-Leaping Using Optimal Block Sets. IEICE Transactions on Information and Systems E88-D(12), 2864–2870 (2005)
Yagel, R., Cohen, D., Kaufman, A.: Discrete Ray Tracing. IEEE Computer Graphics and Applications 12(5), 19–28 (1992)
Medison, co., ltd, Rep. of Korea, http://www.medison.com/eng/index.asp
Cohen, D., Sheffer, Z.: Proximity Clouds: An Acceleration Technique for 3D Grid Traversal. The Visual Computer 11(1), 27–28 (1994)
Sramek, M., Kaufman, A.: Fast Ray-tracing of Rectilinear Volume Data Using Distance Transforms. IEEE Trans. on Visualization and Computer graphics 6(3), 236–252 (2000)
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Lim, S., Shin, BS. (2006). Hierarchical σ–Octree for Visualization of Ultrasound Datasets. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_129
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DOI: https://doi.org/10.1007/11881599_129
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45916-3
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