A Deterministic-Statistic Adventitia Detection in IVUS Images

  • Debora Gil
  • Aura Hernandez
  • Antoni Carol
  • Oriol Rodriguez
  • Petia Radeva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3504)


Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification strategy for selecting points on the structure. Whatever the set of descriptors used, the selection stage suffers from fake responses due to noise and uncompleted true curves. In order to smooth background noise while strengthening responses, we apply a restricted anisotropic filter that homogenizes grey levels along the image significant structures. Candidate points are extracted by means of a simple semi supervised adaptive classification of the filtered image response to edge and calcium detectors. The final model is obtained by interpolating the former line segments with an anisotropic contour closing technique based on functional extension principles.


Feature Space IVUS Image Polar Image Geodesic Active Contour Adaptive Criterion 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    McInerney, T., Terzopoulos, D.: Deformable models in medical images analyis: a survey. Medical Image Analysis 1, 91–108 (1996)CrossRefGoogle Scholar
  2. 2.
    Zhang, X., Sonka, M.: Tissue characterization in intravascular ultrasound images. IEEE Trans. on Medical Imaging 17, 889–899 (1998)CrossRefGoogle Scholar
  3. 3.
    Pujol, O., Radeva, P.: Supervised Texture classification for Intravascular Tisue Characterization. In: Handbook of Medical Imaging. Kluwer Academic/Plenum Pub., Dordrecht (2004)Google Scholar
  4. 4.
    Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models. Int. Journal of Computer Vision 1, 321–331 (1987)CrossRefGoogle Scholar
  5. 5.
    Caselles, V., Kimmel, R., Sapiro, G.: Geodesic Active Contours. Int. J. Comp. Vision 22(1), 61–79 (1997)zbMATHCrossRefGoogle Scholar
  6. 6.
    Klingensmith, J.D., Shekhar, R., Vince, D.G.: Evaluation of three-dimensional segmentation algorithms for the identification of luminal and Medial-adventitial borders in intravascular ultrasound. IEEE Trans. on Med. Imag. 19(10), 996–1011 (2000)CrossRefGoogle Scholar
  7. 7.
    von Birgelen, C., de Vrey, E.A., Mintz, G.S., Nicosia, A., Bruining, N., Li, W., Slager, C.J., Roelandt, J.R.T.C., Serruys, P.W., de Feyter, P.J.: ECG-gated three-dimensional intravascular ultrasound: Feasibility and reproducibility of the automated analysis of coronary lumen and atherosclerotic plaque dimensions in humans. Circulation 96, 2944–2952 (1997)Google Scholar
  8. 8.
    Gil, D., Radeva, P.: Extending Anisotropic Operators to Recover Smooth Shapes. Comp. Vis. Imag. Unders. (in press)Google Scholar
  9. 9.
    Gil, D.: Geometric Differential Operators for Shape Modelling. PhD Tesis, Universitat Autonoma de Barcelona (2004), available at
  10. 10.
    Hernandez, A., Gil, D., Radeva, P., Nofrerias, E.: Anisotropic Processing of Image Structures for Adventitia Detection in IVUS Images. In: Proc. CiC (2004)Google Scholar
  11. 11.
    Weickert, J.: A Review of Nonlinear Diffusion Filtering. In: ter Haar Romeny, B.M., Florack, L.M.J., Viergever, M.A. (eds.) Scale-Space 1997. LNCS, vol. 1252, pp. 3–28. Springer, Heidelberg (1997)Google Scholar
  12. 12.
    Jähne, B.: Spatio-Temporal Image Processing. LNCS, vol. 751. Springer, Heidelberg (1993)zbMATHGoogle Scholar
  13. 13.
    Duda, R., Hart, P.: Pattern Classification. Wiley-Interscience, Hoboken (2001)zbMATHGoogle Scholar
  14. 14.
    Paragios, N., Deriche, R.: Geodesic Active Contours for Supervised Texture Segmentation. In: Proc. of Comp. Vis. and Pat. Rec., vol. 2, pp. 422–427 (1999)Google Scholar
  15. 15.
    Evans, L.C.: Partial Differential Equations, Berkeley Math. Lect. Notes (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Debora Gil
    • 1
  • Aura Hernandez
    • 1
  • Antoni Carol
    • 2
  • Oriol Rodriguez
    • 2
  • Petia Radeva
    • 1
  1. 1.Computer Vision CenterUniversitat Autonoma de Barcelona, BellaterraBarcelonaSpain
  2. 2.Hospital Universitari Germans Trias i PujolBadalonaSpain

Personalised recommendations