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An interactive 3D framework for anatomical education

  • Pere-Pau Vázquez
  • Timo Götzelmann
  • Knut Hartmann
  • Andreas Nürnberger
Original Article

Abstract

Object

This paper presents a 3D framework for Anatomy teaching. We are mainly concerned with the proper understanding of human anatomical 3D structures.

Materials and methods

The main idea of our approach is taking an electronic book such as Henry Gray’s Anatomy of the human body, and a set of 3D models properly labeled, and constructing the correct linking that allows users to perform mutual searches between both media.

Results

We implemented a system where learners can interactively explore textual descriptions and 3D visualizations.

Conclusion

Our approach allows easily performing two search tasks: first, the user may select a text region and get a view showing the objects that contain the selected structures, and second, using the interactive exploration of a 3D model the user may automatically search for the textual description of the structures visible in the current view.

Keywords

Computer-assisted instruction (LB 1028.5) Medical educational materials (W 18.2) Computer graphics (T 385) 

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References

  1. 1.
    Tortora GJ (1997) Introduction to the human body: the essentials of anatomy and psychology. Benjamin Cummings, Menlo ParkGoogle Scholar
  2. 2.
    Götzelmann T, Vázquez P, Hartmann K, Germer T, Nürnberger A, Strothotte T et al (2007) SIGGRAPH proceedings of the 23rd international spring conference on computer graphicsGoogle Scholar
  3. 3.
    Götzelmann T, Vázquez P, Hartmann K, Nürnberger A, Strothotte T (2007) Correlating text and images: concept and evaluation. Lecture notes in computer science: 7th international conference on smart graphics. Springer, HeidelbergGoogle Scholar
  4. 4.
    Feiner SK, McKewon KR (1993) Automating the generation of coordinated multimedia explanations. In: Maybury MT(eds) Intelligent multimedia interfaces.. AAAI Press, Menlo Park, pp 117–138Google Scholar
  5. 5.
    Wahlster W, André E, Finkler W, Profitlich HJ, Rist T (1993) Plan-based integration of natural language and graphics generation. Artif Intell 63: 387–427. doi: 10.1016/0004-3702(93)90022-4CrossRefGoogle Scholar
  6. 6.
    Schlechtweg S, Strothotte T (1999) Illustrative browsing: a new method of browsing in long on-line texts. Int Conf Comput Human Interact 466–473Google Scholar
  7. 7.
    Hartmann K, Strothotte T (2002) A spreading activation approach to text illustration. In: 2nd internationl symposium on smart graphics, pp 39–46Google Scholar
  8. 8.
    Schlechtweg S, Strothotte T (2000) Generating scientific illustrations in digital books. In: AAAI spring symposium on smart graphics, pp 8–15Google Scholar
  9. 9.
    Furnas GW (1986) Generalized Fisheye views. In: Conference on human factors in computing systems, pp 16–23Google Scholar
  10. 10.
    Collins AM, Loftus EF (1975) A spreading-activation theory of semantic processing. Psychol Rev 82(6): 407–428. doi: 10.1037/0033-295X.82.6.407 CrossRefGoogle Scholar
  11. 11.
    Lieberman H, Liu H, Singh P, Barry B (2005) Beating common sense into interactive applications.. AI Mag 25(4): 63–76Google Scholar
  12. 12.
    Götze M, Neumann P, Isenberg T (2005) User-supported interactive illustration of text. Simulation und Visualisierung 195–206Google Scholar
  13. 13.
    Götzelmann T, Götze M, Ali K, Hartmann K, Strothotte T (2007) Annotating images through adaptation: an integrated text uthoring and illustration framework. J WSCG 15: 1Google Scholar
  14. 14.
    Vázquez P, Feixas M, Sbert M, Heidrich W (2001) Viewpoint selection using viewpoint entropy. In: Vision modeling and visualization conference, pp 273–280Google Scholar
  15. 15.
    Viola I, Feixas M, Sbert M, Gröller M (2006) Importance-driven focus of attention. IEEE Trans Vis Comput Graph 12(5): 933–940. doi: 10.1109/TVCG.2006.152 PubMedCrossRefGoogle Scholar
  16. 16.
    Mühler K, Neugebauer M, Tietjen C, Preim B (2007) Viewpoint selection for intervention planning. In: EG/IEEE-VGTC symposium on visualizationGoogle Scholar
  17. 17.
    Gray H (1918) Anatomy of the human body, 20th edn. Lea & Febiger, PhiladelphiaGoogle Scholar
  18. 18.
    Salton G, Wong A, Yang CS (1975) A vector space model for automatic indexing. Commun ACM 18(11): 613–620. doi: 10.1145/361219.361220 CrossRefGoogle Scholar
  19. 19.
    Salton G, Allan J, Buckley C, Singhal A (1994) Automatic analysis, theme generation, and summarization of machine-readable texts. Science 264: 1421–1426. doi: 10.1126/science.264.5164.1421 PubMedCrossRefGoogle Scholar
  20. 20.
    Götzelmann T, Hartmann K, Strothotte T (2006) Agents-based annotation of interactive 3D visualizations. In: 6th International symposium on smart graphics, pp 24–35Google Scholar

Copyright information

© CARS 2008

Authors and Affiliations

  • Pere-Pau Vázquez
    • 1
  • Timo Götzelmann
    • 2
  • Knut Hartmann
    • 3
  • Andreas Nürnberger
    • 4
  1. 1.Modeling, Visualization and Graphics Interaction GroupUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.Graphics and Interactive Systems GroupUniversity of MagdeburgMagdeburgGermany
  3. 3.Graphics and Interactive Systems GroupUniversity of Applied SciencesFlenshburgGermany
  4. 4.Information Retrieval GroupUniversity of MagdeburgMagdeburgGermany

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