Skip to main content

Tracing of Curvilinear Structures in 3D Images with Single Scale Diameter Measurement

  • Conference paper
  • First Online:
Scale-Space Theories in Computer Vision (Scale-Space 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1682))

Included in the following conference series:

Abstract

We introduce a 3D tracing method based on differential ge- ometry in Gaussian blurred images. The line point detection part of the tracing method starts with calculation of the line direction from the eigenvectors of the Hessian matrix. The sub-voxel center line position is estimated from a second order Taylor approximation of the 2D intensity profile perpendicular to the line. The line diameter is obtained at a single scale using the theoretical scale dependencies of the 0-th and 2nd order Gaussian derivatives at the line center. Experiments on synthetic images reveal that the localization of the centerline is mainly affected by line curvature. The diameter measurement is accurate for diameters as low as 4 voxels.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Capowsky, J.J.: Computer Techniques in Neuroanatomy. Plenum Press, New York (1989)

    Google Scholar 

  2. Jonk, A.: A Line Tracker. ISIS Techn. report, University of Amsterdam (1998)

    Google Scholar 

  3. Steger, C.: An Unbiased Detector of Curvilinear Structures. IEEE trans. PAMI. 20(2) (1998) 113–125

    Google Scholar 

  4. Bevaqua, G., Floris, R.: A Surface Specific-Line and Slope Recognition Algorithm. Computer Vision, Graphics, and Image Processing 40 (1987) 219–227

    Google Scholar 

  5. Collerec, R., Coatrieux, J.L.: Vectorial Tracking and directed contour finder for vascular network in digital subtraction angiography. Pattern Recognition Letters 8 (1988) 353–358

    Google Scholar 

  6. Lorenz, C., Carlsen, I.C., Buzug, T.M., Fassnacht, C., Weese, J.: Multi-scale Line Segmentation with Automatic Estimation of Width, Contrast and Tangential Direction in 2D and 3D Medical Images. Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medical Robotics and Computer-Assited Surgery (1997) 233–242

    Google Scholar 

  7. Eberly, D.: Ridges in Image and Data Analysis. Computational Imaging and Vision, Vol. 7. Kluwer Academic Publishers, Dordrecht, The Netherlands (1996)

    Google Scholar 

  8. Haralick, R.M.: Ridges and Valleys on Digital Images. Computer Vision, Graphics, and Image Processing 22 (1983) 28–38

    Google Scholar 

  9. Lindeberg, T.: Edge Detection and Ridge Detection with Automatic Scale Selection. Computer Vision and Pattern Recognition. IEEE Computer Society Press, Los Alamitos (1996) 465–470

    Google Scholar 

  10. Steger, C.: Unbiased Extraction of Cuvilinear Structures from 2D and 3D Images. PhD thesis, Muenchen (1998)

    Google Scholar 

  11. Noordmans, H.J.: Interactive Analysis of 3D Microscope Images. PhD thesis, Amsterdam (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Streekstra, G.J., Smeulders, A.W.M., van den Boomgaard, R. (1999). Tracing of Curvilinear Structures in 3D Images with Single Scale Diameter Measurement. In: Nielsen, M., Johansen, P., Olsen, O.F., Weickert, J. (eds) Scale-Space Theories in Computer Vision. Scale-Space 1999. Lecture Notes in Computer Science, vol 1682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48236-9_50

Download citation

  • DOI: https://doi.org/10.1007/3-540-48236-9_50

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66498-7

  • Online ISBN: 978-3-540-48236-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics