Log in

Optimal time-frequency projections for localized tomography

  • Invited Articles
  • Published:
Annals of Biomedical Engineering Aims and scope Submit manuscript

Abstract

An algorithm for recovering a function from essentially localized values of its Radon transform and sparse nonlocal values was outlined in Reference 13. That algorithm utilized the time-frequency properties of wavelets, coupled with the range theorems for the Radon transform, to localize essentially the dependence of the Radon transform. In this paper we utilize alternative time-frequency projections which were introduced by Coifman and Meyer (4). We present evidence that these bases are optimal according to our criterion for localized tomography. These bases require significantly less data than the wavelet bases that were used in Reference 13. Finally, we present numerical results supporting this work.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Auscher, P., G. Weiss, and M. V. Wickerhauser. Local sine and cosine bases of Coifman and Meyer and construction of smooth wavelets, In:Wavelets, A Tutorial in Theory and Applications, edited by C. Chui. New York: Academic Press.

  2. Walnut D. Applications of Gabor and wavelet expansions to the Radon transform, In:Probabilistic and Stochastic Methods in Analysis, with Applications, edited by J. S. Byrnes. Norwell, MA: Kluwer, 1992, pp. 187–205.

    Google Scholar 

  3. Berenstein, C., and D. Walnut. Local inversion of the Radon transform in even dimensions using wavelets. In: Proceedings of the Conference: 75 Years of the Radon Transform, Vienna, Austria, 1992. International Press, 1994, pp. 38–58.

  4. Coifman, R. R., and Y. Meyer. Remarques sur l'analyse de fourier 'a fenêtre, sêrie I.C.R. Acad. Sci. Paris 312:259–261, 1991.

    Google Scholar 

  5. Donoho, D. L., and P. B. Stark. Uncertainty principles and signal recovery,SIAM J. Appl. Math. 49(3):906–931, 1989.

    Article  Google Scholar 

  6. Faridani, A. Sampling and resolution in diffraction tomography II: an error analysis of the filtered backprojection algorithm.SIAM J. Appl. Math., in press.

  7. Faridani, A., E. Ritman, and K. T. Smith. Examples of local tomography.SIAM J. Appl. Math. (4):1193–1198, 1992.

    Article  Google Scholar 

  8. Faridani, A., F. Keinert, F. Natterer, E. L. Ritman, and K. T. Smith. Local and global tomography.Sign. Proc., IMA Vol. Math. Appl. 23:241–255, 1990.

    Google Scholar 

  9. Faridani, A., E. Ritman, and K. T. Smith. Local tomography.SIAM J. Appl. Math. 52(2):459–484, 1992.

    Article  Google Scholar 

  10. Louis, A. K., and A. Reider. Incomplete data problems in X-ray computerized tomography.Numeriche Math. 56:371–383, 1989.

    Article  Google Scholar 

  11. Maass, P. The interior Radon transform.SIAM J. Appl. Math. 52(3):710–724, 1992.

    Article  Google Scholar 

  12. Natterer, F.The Mathematics of Computerized Tomography. Stuttgart: Wiley and Sons, 1986.

    Google Scholar 

  13. Olson, T., and J. DeStefano. Wavelet localization of the radon transform.IEEE Trans. Sign. Proc. August:2056–2067, Aug. 1994.

    Google Scholar 

  14. Radon, J. Über die Bestimmung von Funktionen durch ihre Integralwerte lángs gewisser Mannigfaltigkeiten.Berichte Sächsishe Akad. Wissenschaften, 69:262–267.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Olson, T. Optimal time-frequency projections for localized tomography. Ann Biomed Eng 23, 622–636 (1995). https://doi.org/10.1007/BF02584461

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02584461

Keywords

Navigation