3D Object Volume Measurement Using Freehand Ultrasound

  • A. L. Bogush
  • A. V. Tuzikov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

Algorithms for volume evaluation of 3D objects on freehand ultrasound images are considered. The position sensor used provides image spatial position and orientation data. The algorithms are based on Watanabe formula for volume computation and use cubic spline interpolation. They allow object volume evaluation on initial image sequence without reconstruction of 3D cube avoiding inevitable data loss at this pre-processing stage. The algorithm accuracy was tested on simulated and real objects.

Keywords

Position Sensor Object Boundary Spline Curve Object Volume Equidistant Plane 
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.

References

  1. 1.
    Watanabe, Y.: A method for volume estimation by using vector areas and centroids of serial cross sections. IEEE Trans. Biomed. Eng. 29, 202–205 (1982)CrossRefGoogle Scholar
  2. 2.
    Fenster, A., Downey, D., Cardinal, H.: Three-dimensional ultrasound imaging. Physics in Medicine and Biology 46, 67–99 (2001)CrossRefGoogle Scholar
  3. 3.
    Treece, G.M., Prager, R.W., Gee, A.H., Berman, L.: Fast surface and volume estimation from non-parallel cross-sections for freehand 3-D ultrasound. Medical Image Analysis 3(2), 141–173 (1999)CrossRefGoogle Scholar
  4. 4.
    Treece, G.: Volume measurement and surface visualisation in sequential freehand 3D ultrasound. PhD thesis, University of Cambridge, Department of Engineering (2000)Google Scholar
  5. 5.
    Catmull, E., Rom, R.: A class of local interpolating splines. In: Barnhill, R., Risenfeld, R. (eds.) Computer Aided Geometric Design, pp. 317–326. Academic Press, San Francisco (1974)Google Scholar
  6. 6.
    Sheynin, S.A., Tuzikov, A.V., Bogush, A.L.: Improvements of Volume Computation from Non-parallel Cross-sections. In: 17th International Conference on Pattern Recognition ICPR 2004, Cambridge, UK, August 23-26, vol. 4, pp. 815–818 (2004)Google Scholar
  7. 7.
    Schlogl, S., Werner, E., Lassmann, M., Terekhova, J., Muffert, S., Seybold, S., Reiners, C.: The use of three-dimensional ultrasound for thyroid volumetry. Thyroid 11(6), 569–574 (2001)CrossRefGoogle Scholar
  8. 8.
    Sheynin, S., Tuzikov, A.: Moment computation for objects with spline curve boundary. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(10), 1317–1322 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • A. L. Bogush
    • 1
  • A. V. Tuzikov
    • 1
  1. 1.United Institute of Informatics ProblemsNational Academy of Sciences of BelarusMinskBelarus

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