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Aperio: A System for Visualizing 3D Anatomy Data Using Virtual Mechanical Tools

  • T. McInerneyEmail author
  • D. Tran
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9474)

Abstract

We present Aperio - an interactive real-time system for visualizing complex organic-shaped 3D models such as anatomy data or medical data. Aperio employs an interaction model based on a mechanical tool analogy via a small set of virtual “metal” tools, such as rods, rings, cutters, and scalpels. The familiar and well-differentiated tool shapes, combined with their initial pose and metallic appearance, suggest a tool’s function to the user. Cutter tools are designed to create easily-understood cutaway views, and rings and rods provide simple oriented path constraints that support rigid transformations of models via “sliding”, including interactive exploded view capabilities. GPU rendering provides realistic real-time “solid cut” previewing of surface-mesh models. We demonstrate Aperio using a human anatomy data set and present user studies to provide supporting evidence of Aperio’s interaction simplicity and its effectiveness for visualizing model spatial interrelationships.

Keywords

Rigid Transformation Path Point Model Subsystem Visual Clutter Spatial Interrelationship 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Elmqvist, N., Tsigas, P.: A taxonomy of 3d occlusion management for visualization. IEEE Trans. Visual Comput. Graphics 14, 1095–1109 (2008)CrossRefGoogle Scholar
  2. 2.
    Knödel, S., Hachet, M., Guitton, P.: Interactive generation and modification of cutaway illustrations for polygonal models. In: Butz, A., Fisher, B., Christie, M., Krüger, A., Olivier, P., Therón, R. (eds.) SG 2009. LNCS, vol. 5531, pp. 140–151. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  3. 3.
    Li, W., Ritter, L., Agrawala, M., Curless, B., Salesin, D.: Interactive cutaway illustrations of complex 3d models. ACM Trans. Graph. 26, 31:1–31:11 (2007)CrossRefGoogle Scholar
  4. 4.
    McInerney, T., Crawford, P.: RibbonView: interactive context-preserving cutaways of anatomical surface meshes. In: Bebis, G., et al. (eds.) ISVC 2010, Part II. LNCS, vol. 6454, pp. 533–544. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  5. 5.
    Pindat, C., Pietriga, E., Chapuis, O., Puech, C.: Drilling into complex 3d models with gimlenses. In: VRST 2013, pp. 223–230 (2013)Google Scholar
  6. 6.
    Trapp, M., Döllner, J.: 2.5d clip-surfaces for technical visualization. J. WSCG 21, 89–96 (2013)Google Scholar
  7. 7.
    Burns, M., Finkelstein, A.: Adaptive cutaways for comprehensible rendering of polygonal scenes. ACM Trans. Graph. 27, 154:1–154:7 (2008)CrossRefGoogle Scholar
  8. 8.
    Sonnet, H., Carpendale, S., Strothotte, T.: Integrating expanding annotations with a 3d explosion probe. In: Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2004, pp. 63–70. ACM, New York (2004)Google Scholar
  9. 9.
    Tatzgern, M., Kalkofen, D., Schmalstieg, D.: Compact explosion diagrams. In: Proceedings of the 8th International Symposium on Non-photorealistic Animation and Rendering, NPAR 2010. ACM, New York, pp. 17–26 (2010)Google Scholar
  10. 10.
    Li, W., Agrawala, M., Curless, B., Salesin, D.: Automated generation of interactive 3d exploded view diagrams. ACM Trans. Graph. 27, 101:1–101:7 (2008)CrossRefGoogle Scholar
  11. 11.
    Bruckner, S., Gröller, M.E.: Exploded views for volume data. IEEE Trans. Visual Comput. Graphics 12, 1077–1084 (2006)CrossRefGoogle Scholar
  12. 12.
    Birkeland, S., Viola, I.: View-dependent peel-away visualization for volumetric data. In: Hauser, H., Spencer, S.N. (eds.) Spring Conference on Computer Graphics SCCG, pp. 121–128. ACM (2009)Google Scholar
  13. 13.
    Correa, C.D., Silver, D., Chen, M.: Feature aligned volume manipulation for illustration and visualization. IEEE Trans. Vis. Comput. Graph. 12, 1069–1076 (2006)CrossRefGoogle Scholar
  14. 14.
    McGuffin, M.J., Tancau, L., Balakrishnan, R.: Using deformations for browsing volumetric data. In: Proceedings of the 14th IEEE Visualization 2003 (VIS 2003), p. 53. IEEE Computer Society, Washington, D.C. (2003)Google Scholar
  15. 15.
    Tran, D.: Aperio: Managing 3d scene occlusion using a mechanical analogy for visualizing multi-part mesh data. Master’s thesis, Dept. of Computer Science, Ryerson University, Toronto, ON, Canada (2015)Google Scholar
  16. 16.
    Schroeder, W.J., Martin, K., Lorensen, W.: The Visualization Toolkit: An Object-Oriented Approach to 3d Graphics, 4th edn. Kitware Inc., Clifton (2006) Google Scholar
  17. 17.
    Barr, A.H.: Superquadrics and angle-preserving transformations. IEEE Comput. Graph. Appl. 1, 11–23 (1981)CrossRefGoogle Scholar
  18. 18.
    SurveyMonkey Inc.: SurveyMonkey. www.surveymonkey.com. Accessed 08 October 2015

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceRyerson UniversityTorontoCanada

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