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Transparent Fused Visualization of Surface and Volume Based on Iso-Surface Highlighting

  • Miwa Miyawaki
  • Kyoko Hasegawa
  • Liang Li
  • Satoshi Tanaka
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 98)

Abstract

Computer Graphics technology enables a three-dimensional representation of object’s shape and inner structure. It is widely used in the field of visualization and simulation such as computer-aided design, scientific visualization, and medical simulation. Recent studies on implicit surface generation from shape measured three-dimensional point cloud data provide precise and refined surface visualization for complex objects from buildings and tangible heritages to the internal structure of the human body. However, to understand and analyze the structural characteristics of complex shapes, conventional methods, which visualize the whole object with one criterion, could not produce satisfactory results. A more comprehensive visualization method that extracts and highlights the edges and feature regions of a complex object is desired. In this paper, we propose a fused visualization method that extracts and highlights the shape characteristics of three-dimensional volume data of the human body. For the implicit surface generation, volume stochastic process sampling method is applied. The surface curvature is then calculated by projecting the mathematically well-defined curvature information at a point on the iso-surface to its tangent plane. The high curvature area is extracted as the feature region and transparently fused with the original volume data. The proposed method, which realizes three-dimensional transparent fusion of feature-highlighted iso-surface visualization and volume visualization, comprehensively visualizes global structure of the target medical data as well as emphasizes the structural characteristics in the feature region.

References

  1. 1.
    Lorenson, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. In: SIGGRAPH 1987, pp. 163–169 (1987)Google Scholar
  2. 2.
    Tanaka, S., Hasegawa, K., Shimokubo, Y., Kaneko, T., Kawamura, T., Nakata, S., Ojima, S., Sakamoto, N., Tanaka, H.T., Koyamada, K.: Particle-based transparent rendering of implicit surfaces and its application to fused visualization. In: EuroVis 2012, pp. 25–29 (short paper), Vienna, Austria, 5–8 June 2012Google Scholar
  3. 3.
    Bloomenthal, J.: Polygonization of implicit surfaces. Comput. Aided Geom. Des. 5, 341–355 (1988)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Tanaka, S., Morisaki, A., Nakata, S., Fukuda, Y., Yamamoto, H.: Sampling implicit surfaces based on stochastic differential equations with converging constraint. Comput. Graph. 24(3), 419–431 (2000)CrossRefGoogle Scholar
  5. 5.
    Tanaka, S., Shibata, A., Yamamoto, H., Kotsuru, H.: Generalized stochastic sampling method for visualization and investigation of implicit surfaces. Comput. Graph. Forum 20(3), 359–367 (2001). Proceedings of Eurographics 2001CrossRefGoogle Scholar
  6. 6.
    Tanaka, S., Nakamura, T., Ueda, M., Yamamoto, H., Shino, K.: Application of the stochastic sampling method to various implicit surfaces. Comput. Graph. 25(3), 441–448 (2001)CrossRefGoogle Scholar
  7. 7.
    Tanaka, S., Fukuda, Y., Yamamoto, H.: Stochastic algorithm for detecting intersection of implicit surfaces. Comput. Graph. 24(4), 523–528 (2000)CrossRefGoogle Scholar
  8. 8.
    Jo, Y., Oka, M., Kimura, A., Hasegawa, K., Saitoh, A., Nakata, S., Shibata, A., Tanaka, S.: Stochastic visualization of intersection curves of implicit surfaces. Comput. Graph. 31(2), 230–242 (2007)CrossRefGoogle Scholar
  9. 9.
    Sakamoto, N., Nonaka, J., Koyamada, K., Tanaka, S.: Volume rendering using a particles. In: IEEE International Symposium on Multimedia (ISM2006), San Diego, California, USA, 11–13 December 2006Google Scholar
  10. 10.
    Oka, M., Nakata, S., Tanaka, S.: Preprocessing for accelerating convergence of repulsive-particle systems for sampling implicit surfaces. In: IEEE SMI 2007 (Shape Modeling International 2007), Lyon, France, 13–15 June 2007Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Miwa Miyawaki
    • 1
  • Kyoko Hasegawa
    • 2
  • Liang Li
    • 2
  • Satoshi Tanaka
    • 2
  1. 1.Graduate School of Information Science and EngineeringRitsumeikan UniversityKyotoJapan
  2. 2.College of Information Science and EngineeringRitsumeikan UniversityKyotoJapan

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