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Anisotropic filtering of MRI data based upon image gradient histogram

  • Bajla I. 
  • Marušiak M. 
  • Šrámek M. 
Image Processing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 719)

Abstract

The contribution deals with MR image smoothing via anisotropic diffusion aimed at Signal-to-Noise Ratio increase. For segmentation of the MR data dedicated to 3D image synthesis such a procedure is inevitable. In the contribution a novel function for diffusion coefficient definition, involving the global histogram of relative frequencies of the image intensity gradient, is proposed. The smoothing method developed has been tested on a real MR image (from a set of 2D spin-echo data). A comparison of the influence of both diffusion coefficients on smoothing effect is presented.

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References

  1. [1]
    G.Gerig et al: Nonlinear anisotropic filtering of MRI Data. IEEE Trans. on Medical Imaging, vol. 11, No. 2, June 1992, 221–232.Google Scholar
  2. [2]
    P.Perona and J.Malik: Scale-space and edge detection using anisotropic diffusion. IEEE PAMI, vol.12, No.7, 1990, 629–639.Google Scholar
  3. [3]
    I.Bajla et al:A comparison study of smoothing techniques for 3-D image synthesis from MRI data. In: J.Jan(ed): Proc. of the 11-th international conference BIOSIGNAL '92 — IFMBE regional meeting of Danube countries, Brno, Czechoslovakia, June 1992, 31–34.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Bajla I. 
    • 1
  • Marušiak M. 
    • 1
  • Šrámek M. 
    • 1
  1. 1.Institute of Measurement ScienceSlovak Academy of SciencesBratislavaSlovak Republic

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