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Matrix Cubic Splines for Progressive 3D Imaging

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Abstract

Mathematical theory of matrix cubic splines is introduced, then adapted for progressive rendering of images. 2D subsets of a 3D digital object are transmitted progressively under some ordering scheme, and subsequent reconstructions using the matrix cubic spline algorithm provide an evolving 3D rendering. The process can be an effective tool for browsing three dimensional objects, and effectiveness is illustrated with a test data set consisting of 93 CT slices of a human head. The procedure has been implemented on a single processor PC system, to provide a platform for full 3D experimentation; performance is discussed. A web address for the complete, documented Mathematica code is given.

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References

  1. J.A. Ball, I. Gohberg, and L. Rodman, Interpolation of Rational Matrix Functions, Birkhäuser, 1990.

  2. E. Defez, A. Hervás, A.G. Law, J. Villanueva-Oller, and R.J. Villanueva, “Progressive transmission of images: PC-based computations using orthogonal matrix polynomials”, Mathematical and Computer Modelling Vol. 32 pp. 1125-1140, (2000).

    Google Scholar 

  3. G.H. Golub and C.F. van Loan, Matrix Computations, Johns Hopkins Univ. Press, Baltimore, MA., 1989.

    Google Scholar 

  4. R.C. González and R.E. Woods, Digital Image Processing, Addison-Wesley, New York, 1993.

    Google Scholar 

  5. D. Kahaner, C. Moler, and S. Nash, Numerical methods and software, Prentice-Hall, New Jersey, 1989.

    Google Scholar 

  6. D.C Kay and J.R. Levin, Graphics file formats, Windcrest/ MCGraw-Hill, 1995.

  7. Y.-S. Kim and W.-Y. Kim, “Reversible decorrelation method for progressive transmission of 3D medical image”, IEEE Trans. Medical Imaging, Vol. 17, No. 3, pp. 383-394, 1998.

    Google Scholar 

  8. E. Kofidis, N. Kolokotronis, A. Vassilarakou, S. Theodoridis and D. Cavouras, “Wavelet-based medical image compression”, Future Generation Computer Systems, Vol. 15, pp. 223-243, 1999.

    Google Scholar 

  9. T. Lehmann, C. Gönner, and K. Spitzer, “Interpolation Methods in Medical Image Processing”, IEEE Transactions on Medical Image Processing, Vol. 18, No. 11, pp. 1049-1075, 1999.

    Google Scholar 

  10. S.G Mallat, “A Theory for Multiresolution Signal Decomposition: The Wavelet Representation”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 11, pp. 674-693, July 1989.

  11. M. Marcus and H. Minc, A Survey of Matrix Theory and Matrix Inequalities, Dover, New York, 1964.

    Google Scholar 

  12. T. Sigitani, Y. Iiguni, and H. Maeda, “Progressive crosssection display of 3D medical images”, Phys. Med. Biol. Vol. 44, No. 6, pp. 1565-1577, June 1999.

    Google Scholar 

  13. W. Schroeder and K. Martin, The VTK user's guide, Kitware Inc, 1999.

  14. W. Schroeder, K. Martin, and B. Lorensen, The visualization toolkit. An object-oriented approach to graphics, Prentice-Hall, 1997.

  15. E.J Stollnitz, T.D DeRose, and D.H. Salesin, “Wavelets for Computer Graphics: A Primer, Part I”, IEEE Computer Graphics and Applications, Vol. 15, No. 3, pp. 76-84, May 1995.

    Google Scholar 

  16. K. Tzou, “Progressive image transmission: A review and comparison of techniques”, Opt. Eng., Vol. 26, pp. 581-589, July 1987.

  17. M. Unser, “A perfect fit for signal and image processing”, IEEE Signal Processing Magazine, Vol. 16, No. 6, pp. 22-38, 1999.

    Google Scholar 

  18. W. Wrazidlo, H.J. Brambs, W. Lederer, S. Schneider, B. Geiger, and C. Fischer, “An alternative method of threedimensional reconstruction from two-dimensional CT and MR data sets”, Med. Biol. Eng. Comput. Vol. 38, No. 2, pp. 140-149, Mar. 2000.

    Google Scholar 

  19. S. Wolfram, The Mathematica Book, Wolfram Media Inc., 1996.

  20. http://www.scriptics.com

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Defez, E., Villanueva-Oller, J., Villanueva, R. et al. Matrix Cubic Splines for Progressive 3D Imaging. Journal of Mathematical Imaging and Vision 17, 41–53 (2002). https://doi.org/10.1023/A:1020774608752

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