Advertisement

eHealth 360° pp 443-450 | Cite as

Volume Visualization Tools for Medical Applications in Ubiquitous Platforms

  • Ander ArbelaizEmail author
  • Aitor Moreno
  • Luis Kabongo
  • Alejandro García-Alonso
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 181)

Abstract

This paper presents three required functionality when volume datasets are aimed to be visualized in ubiquitous platforms: (i) support of segmented volume datasets, (ii) navigation inside the volume and (iii) direct visualization of DICOM datasets. DICOM is the de-facto standard in the medical imaging field. The results shows that these functionalities can be achieved using the Volume Rendering component implemented in X3DOM in several web browsers in different platforms (from desktop computer to tablets and mobile phones).

Keywords

Volume rendering Medical imaging DICOM Visualization X3DOM Ubiquitous platforms 

References

  1. 1.
    Behr, J., Eschler, P., Jung, Y., Zöllner, M.: X3DOM: a DOM-based HTML5/X3D integration model. In: Proceedings of the 14th International Conference on 3D Web Technology, pp. 127–135. ACM, June 2009Google Scholar
  2. 2.
    Congote, J., Segura, A., Kabongo, L., Moreno, A., Posada, J., Ruiz, O.: Interactive Visualization of volumetric data with WebGL in real-time. In: Proceedings of the 16th International Conference on 3D Web Technology, Web3D 2011, pp 137–146. ACM, New York(2011)Google Scholar
  3. 3.
    Cornestone JavaScript library to display interactive medical images including but not limited to DICOM. https://github.com/chafey/cornerstone
  4. 4.
    Hähn, D., Rannou, N., Ahtam, B., Grant, P.E., Pienaar, R.: Neuroimaging in the browser using the X toolkit. Front. Neuroinform. (2014). Conference Abstract: 5th INCF Congress of NeuroinformaticsGoogle Scholar
  5. 5.
    Kajiya, J.T., Von Herzen, B.P.: Ray tracing volume densities. In: Christiansen, H. (ed.) Proceedings of the 11th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH 1984), pp. 165–174. ACM, New York (1984)Google Scholar
  6. 6.
    Kruger, J., Westermann, R.: Acceleration techniques for GPU-based volume rendering. In: Visualization, VIS 2003, pp. 287–292. IEEE, 24 October 2003Google Scholar
  7. 7.
    Mobeen, M., Feng, L.: High-performance volume rendering on the ubiquitous WebGL platform. In: 2012 IEEE 14th International Conference on High Performance Computing and Communication, 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), pp. 381–388 (2012)Google Scholar
  8. 8.
    Noguera, J., Jimenez, J.: Visualization of very large 3D volumes on mobile devices and WebGL. In: 20th WSCG International Conference on Computer Graphics, Visualization and Computer Vision, WSCG 2012, June 2012Google Scholar
  9. 9.
    Rodríguez, M.B., Alcocer, P.P.V.: Practical volume rendering in mobile devices. In: Bebis, G., et al. (eds.) ISVC 2012. LNCS, vol. 7431, pp. 708–718. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-33179-4_67 CrossRefGoogle Scholar
  10. 10.
    Schiewe, A., Anstoots, M., Krüger, J.: State of the art in mobile volume rendering on iOS devices. In: Bertini, E., Kennedy, J., Puppo, E. (eds.) Eurographics Conference on Visualization (EuroVis) - Short Papers. The Eurographics Association (2015)Google Scholar
  11. 11.
    VJS Medical Imaging Sugar for ThreeJS. https://github.com/FNNDSC/vjs
  12. 12.
    Volume Data obtained from, http://www.volvis.org
  13. 13.
    WebVR Bringing virtual reality to the web. http://webvr.info/

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Ander Arbelaiz
    • 1
    Email author
  • Aitor Moreno
    • 1
  • Luis Kabongo
    • 1
  • Alejandro García-Alonso
    • 2
  1. 1.Vicomtech-IK4Donostia/San SebastiánSpain
  2. 2.University of the Basque CountryDonostia/San SebastiánSpain

Personalised recommendations