Skip to main content

Distance Transformation and Skeletonization of 3D Pictures and Their Applications to Medical Images

  • Chapter
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2243))

Abstract

In this article, we present the Euclidean distance transformation (EDT) of three-dimensional (3D) binary pictures and applications, with stress on Dr. Toyofumi Saito’s work in collaboration with one of the authors. First, EDT, skeletons, and reverse EDT are defined, and then the algorithms to perform them are presented. Next, a sequential-type 3D thinning algorithm that preserves the topology of an input object is introduced. This algorithm is derived by combining an ordinary twodimensional thinning algorithm with EDT. Finally, applications to medical image processing are presented such as automated path finding in virtual endoscopy, as well as analysis of 3D pathological sample images. Dr. Toyofumi Saito, an associate professor who was one of the most active researchers in the field of image processing in Japan and a young leader of the author’s laboratory, and who was initially scheduled to be the first author of this paper, passed away on 26 October 2000. We have lost a most reliable and most promising colleague, an experienced supervisor, and a very sincere friend. He is deeply missed by all in his family, his friends, and his colleagues. On behalf of the laboratory the authors wish to dedicate this short note in memory of Dr. Toyofumi Saito and to express our sincere condolences to his loved ones.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. S. Banjo, T. Saito, and J. Toriwaki: An improvement of three dimensional axis thinning method-quality controllable thinning concerning spike branches and shrinkage of branches-, Technical Report of IEICEM*, PRMU2000-21 (2000.5) (* IEICE = The Institute of Electronics, Information And Communication Engineers, Japan)

    Google Scholar 

  2. G. Borgefors: Distance transformation in arbitrary dimensions, Computer Vision, Graphics, And Image Processing, 27, pp.321–345 (1984)

    Article  Google Scholar 

  3. G. Borgefors: On Digital Distance Transforms in Three Dimensions, Computer Vision and Image Understanding, 64, 3, pp.368–376(1996)

    Article  Google Scholar 

  4. G. Borgefors, I. Ragnemalm, and G. Sanniti di Baja: The Euclidean distance transform; finding the local maxima and reconstructing the shape, Proc. of 7th SCIA (Scandinavian Conf. on Image Analysis), pp.974–981 (1991)

    Google Scholar 

  5. G. Borgefors and I. Nystrom: Efficient Shape Representation by Minimizing the Set of Centres of Maximal Discs/Balls, Pattern Recognition Letters, 18, pp.465–472 (1997)

    Article  Google Scholar 

  6. P. E. Danielsson: Euclidean distance mapping, Computer Graphics And Image Processing, 14, pp.227–248 (1980)

    Article  Google Scholar 

  7. Y. Kawase, S. Yokoi, and J. Toriwaki: On a sequential thinning algorithm for threedimensional digitized picture, IEICE Trans., Japan, J68-D, 4, pp.481–488 (1985)

    Google Scholar 

  8. K. Mori, A. Urano, J. Hasegawa, J. Toriwaki, H. Anno, and K. Katada: Virtualized endoscope system-an application of virtual reality technology to diagnostic aid, IEICE Trans. Inf. and Syst., Japan, E79-D, 6, pp.809–819 (1996.6)

    Google Scholar 

  9. K. Mori, Y, Hayashi, Y. Suenaga, J. Toriwaki, J. Hasegawa, and K. Katada: A Method for Detecting Unobserved Regions in Virtual Endoscopy System, Proc. of SPIE, 4321, pp.134–145 (2000)

    Google Scholar 

  10. N. Nikolaridis: 3-D Image Processing Algorithm, John Wiley & Sons, New York, USA (2001)

    Google Scholar 

  11. F. Nilsson and P. E. Danielsson: Finding the Minimal Set of Maximum Disks for Binary Objects, Graphical Models and Image Processing, 59, 1, pp.55–60 (1997)

    Article  Google Scholar 

  12. K. Palágyi and A. Kuba: A Parallel 3D 12-Subiteration Thinning Algorithm, Graphical Models and Image Processing, 61, pp.199–221 (1999)

    Article  Google Scholar 

  13. C. Pudney: Distance-Ordered Homotopic Thinning: A Skeletonization Algorithm for 3D Digital Images, Computer Vision and Image Understanding, 72, 3, pp.404–413(1998)

    Article  Google Scholar 

  14. I. Ragnemalm: The Euclidean distance transform, Linkoping Studies in Science And Technology, Dissertations No.304, Dep. of Electrical Eng., Linkoping Univ., Linkoping, Sweden, 1993

    Google Scholar 

  15. P. Rogalla, J. Terwisscha van Scheltinga, and B. Hamm eds.: Virtual Endoscopy and Related 3D Techniques, Springer, Heidelberg, Germany (2000)

    Google Scholar 

  16. A. Rosenfeld and A. C. Kak: Digital Picture Processing, Academic Press, 1976

    Google Scholar 

  17. P. K. Saha and B. B. Chaudhuri: Detection of 3-D Simple Points for Topology Preserving Transformations with Application to Thinning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 16, 10, pp.1028–1032 (1994)

    Article  Google Scholar 

  18. T. Saito and J. Toriwaki: Algorithms of three dimensional Euclidean distance transformation and extended digital Voronoi diagram, and analysis of human liver section images, The Journal of the Institute of Image Electronics Engineers of Japan, 21, 5, pp.468–474 (1992)

    Google Scholar 

  19. T. Saito and J. Toriwaki: Fast algorithms for n-dimensional Euclidean distance transformation, Proc. of the 8th SCIA, pp.747–754 (1993.5)

    Google Scholar 

  20. T. Saito and J. Toriwaki: New algorithms for n-dimensional Euclidean distance transformation, Pattern Recognition, 27, 11, pp.1551–1565 (1994)

    Article  Google Scholar 

  21. T. Saito and J. Toriwaki: Reverse distance transformation and skeletons based upon the Euclidean metric for n-dimensional digital binary pictures, IEICE Trans. on Inf. and Syst., Japan, E77-D, 9, pp.1005–1016 (1994.9)

    Google Scholar 

  22. T. Saito and J. Toriwaki: A sequential thinning algorithm for three dimensional digital pictures using the Euclidean distance transformation, Proc. 9th SCIA, pp.507–516 (1995.6)

    Google Scholar 

  23. T. Saito, K. Mori, and J. Toriwaki: A sequential thinning algorithm for three dimensional digital pictures using the Euclidean distance transformation and its properties, IEICE Trans. on Inf. and Syst., Japan, J79-D-II, 10, pp.1675–1685 (1996.10)

    Google Scholar 

  24. T. Saito, S. Banjo, and J. Toriwaki: An improvement of three dimensional thinning method using a skeleton based on the Euclidean distance transformation-a method to control spurious branches, IEICE Trans. on Inf. and Syst., Japan, J84-D-II, 8, pp.1628–1635 (2001.8)

    Google Scholar 

  25. J. Toriwaki, M. Okada, and T. Saito: Distance transformation and skeletons for shape feature analysis, in C. Arcelli, L. P. Cordella, and G. Sanniti di Baja eds.: Visual Form: Analysis and Recognition (Proc. of the International Workshop on Visual Form, 1991.5.27–30), pp.547–563, Plenum Press, New York, 1992

    Google Scholar 

  26. J. Toriwaki and K. Mori: Recent progress in biomedical image processing-Virtualized human body and computer-aided surgery, IEICE Trans. on Inf. and Syst., Japan, E-82D, 3, pp.611–628 (1999,3)

    Google Scholar 

  27. Y. F. Tsao and K. S. Fu: A parallel thinning algorithm for 3-D pictures, Computer Graphics And Image Processing, 17, pp.315–331 (1981)

    Article  Google Scholar 

  28. H. Yamada: Complete Euclidean distance transformation by parallel operation, Proc. of 7th ICPR, pp.69–71 (1984)

    Google Scholar 

  29. Y. Zhou, A. Kaufman, and A. W. Toga: Three-Dimensional Skeleton and Centerline Generation Based on an Approximate Minimum Distance Field, The Visual Computer, 14, 7, pp.303–314 (1998)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Toriwaki, Ji., Mori, K. (2001). Distance Transformation and Skeletonization of 3D Pictures and Their Applications to Medical Images. In: Bertrand, G., Imiya, A., Klette, R. (eds) Digital and Image Geometry. Lecture Notes in Computer Science, vol 2243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45576-0_25

Download citation

  • DOI: https://doi.org/10.1007/3-540-45576-0_25

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43079-7

  • Online ISBN: 978-3-540-45576-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics