Skip to main content
Log in

YaDiV—an open platform for 3D visualization and 3D segmentation of medical data

  • Original Article
  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

In this work, we present the concept, design and implementation of a new software to visualize and segment 3-dimensional medical data. The main goal was to create a platform that would allow trying out new approaches and ideas while staying independent from hardware and operating system, being especially useful for interdisciplinary research groups. A special focus will be given on fast and interactive volume visualization, and a survey on the use of Virtual Reality (VR) and especially haptic/force feedback in medical applications will be provided.

The software will be published as Open Source and therefore be available as a rapid prototyping platform for own ideas and plugins for all members of the scientific community.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Aljabar, P., Heckemann, R., Hammers, A., Hajnal, J., Rueckert, D.: Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy. NeuroImage 46(3), 726–738 (2009). doi:10.1016/j.neuroimage.2009.02.018

    Article  Google Scholar 

  2. Bruckner, S., Gröller, E.: Style transfer functions for illustrative volume rendering. Comput. Graph. Forum 26(3), 715–724 (2007)

    Article  Google Scholar 

  3. Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Trans. Image Process. 10(2), 266–277 (2001). doi:10.1109/83.902291

    Article  MATH  Google Scholar 

  4. Friese, K.I.: Entwicklung einer Plattform zur 3D-Visualisierung und -Segmentierung medizinischer Daten. Ph.D. thesis, Leibniz Universität Hannover, Faculty of Electrical Engineering and Computer Science, Welfenlab, Germany (2010)

  5. Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3d surface construction algorithm. In: SIGGRAPH ’87: Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, vol. 21, pp. 163–169. ACM Press, New York (1987). doi:10.1145/37401.37422

    Chapter  Google Scholar 

  6. McCormick, B., DeFanti, T.A., Brown, M.D. (eds.): Visualization in Scientific Computing. ACM Comput. Graph., vol. 21(6). ACM Press, New York (1987)

    Google Scholar 

  7. van der Meijden, O., Schijven, M.: The value of haptic feedback in conventional and robot-assisted minimal invasive surgery and virtual reality training: a current review. Surg. Endosc. 23(6), 1180–1190 (2009). doi:10.1007/s00464-008-0298-x

    Article  Google Scholar 

  8. Osher, S., Sethian, J.A.: Fronts propagating with curvature-dependent speed: algorithms based on Hamilton–Jacobi formulations. J. Comput. Phys. 79(1), 12–49 (1988). doi:10.1016/0021-9991(88)90002-2

    Article  MATH  MathSciNet  Google Scholar 

  9. Rohlfing, T., Brandt, R., Menzel, R., Russakoff, D.B., Maurer, C.R., Jr.: Quo vadis, atlas-based segmentation. In: Suri, J., Wilson, D.L., Laxminarayan, S. (eds.) Registration Models. The Handbook of Medical Image Analysis, vol. III, pp. 435–486. Kluwer Academic/Plenum, New York (2005). Chap. 11

    Google Scholar 

  10. Schroeder, W., Martin, K., Lorensen, B.: The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, 4th edn. Kitware, Inc., Clifton Park (1997)

    Google Scholar 

  11. Sloan, P.P.J., Martin, W., Gooch, A., Gooch, B.: The lit sphere: a model for capturing NPR shading from art. In: GRIN’01, pp. 143–150. Can. Inf. Proc. Society, Toronto (2001)

    Google Scholar 

  12. Warren, H.S.: Hacker’s Delight. Addison-Wesley Longman Publishing, Boston (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Karl-Ingo Friese.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Friese, KI., Blanke, P. & Wolter, FE. YaDiV—an open platform for 3D visualization and 3D segmentation of medical data. Vis Comput 27, 129–139 (2011). https://doi.org/10.1007/s00371-010-0539-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00371-010-0539-6

Keywords

Navigation