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Woolz IIP: A Tiled On-the-Fly Sectioning Server for 3D Volumetric Atlases

  • Zsolt L. Husz
  • Thomas P. Perry
  • Bill Hill
  • Richard A. Baldock
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5875)

Abstract

We present a novel method to provide fast access to large 3D volumetric data sets from biological or medical imaging atlases. We extend the Internet Imaging Protocol with an open specification for requesting tiled sections of 3D objects. We evaluate the performance of the protocol and demonstrate it with a platform independent web viewer that allows on-the-fly browsing of section views of multi-gigabyte 3D objects.

The method uses Woolz, an efficient image processing library, to provide very fast access to section views of the volumetric data. The server has been implemented to run on standard Linux systems and it avoids the requirement for high-performance parallel processing or expensive software. We have tested the system on data volumes up to 13.4 GB and demonstrated no loss of responsiveness for the user.

Keywords

Section View Image Server Visible Human Project Expensive Software Image Processing Library 
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.

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References

  1. 1.
    I3A: Internet imaging protocol, version 1.0.5 (1997)Google Scholar
  2. 2.
    Mea, V.D., Roberto, V., Beltrami, C.A.: Visualization issues in telepathology: The role of the internet imaging protocol. In: 5th Int’l Conf. on Information Visualization, pp. 717–722 (2001)Google Scholar
  3. 3.
    Glatz-Krieger, K., Glatz, D., Mihatsch, M.J.: Virtual slides: high-quality demand, physical limitations, and affordability. Human Pathology 34(10), 968–974 (2003)CrossRefGoogle Scholar
  4. 4.
    Stalling, D., Westerhoff, M., Christian Hege, H.: Amira: A highly interactive system for visual data analysis. In: The Visualization Handbook, pp. 749–767. Elsevier, Amsterdam (2005)CrossRefGoogle Scholar
  5. 5.
    Gustafson, C., Bug, W.J., Nissanov, J.: Neuroterrain – a client-server system for browsing 3D biomedical image data sets. BMC Bioinformatics 2007 8(40) (2007)Google Scholar
  6. 6.
    Heidger Jr., P.M., Dee, F., Consoer, D., Leaven, T., Duncan, J., Kreiter, C.: Integrated approach to teaching and testing in histology with real and virtual imaging. The Anatomical Record Part B: The New Anatomist 269(2), 107–112 (2002)CrossRefGoogle Scholar
  7. 7.
    Bessaud, J.C., Hersch, R.D.: The visible human slice sequence animation web server. In: 3rd Visible Human Project Conf. Proc. (2000)Google Scholar
  8. 8.
    Piper, J., Rutovitz, D.: Data structures for image processing in a c language and unix environment. Pattern Recognition Letters 3, 119–129 (1985)CrossRefGoogle Scholar
  9. 9.
    Goldstein, H.: Classical Mechanics, 2nd edn. Addison-Wesley, Reading (1950)Google Scholar
  10. 10.
    Whittaker, E.T.: A Treatise on the Analytical Dynamics of Particles and Rigid Bodies, 3rd edn. Cambridge University Press, London (1927)zbMATHGoogle Scholar
  11. 11.
    Pillay, R., Pitzalis, D.: IIPSrv, v. 0.9.7 (1997), http://prdownloads.sourceforge.net/iipimage/iipsrv-0.9.7.tar.bz2
  12. 12.
    Pillay, R.: IIPMooViewer, v. 1.0 (2007), http://iipimage.sourceforge.net

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Zsolt L. Husz
    • 1
  • Thomas P. Perry
    • 2
  • Bill Hill
    • 1
  • Richard A. Baldock
    • 1
  1. 1.MRC Human Genetics Unit, Institute of Genetic and Molecular MedicineWestern General HospitalEdinburghUK
  2. 2.Institute for System Level IntegrationAlba CentreLivingstonUK

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