Skip to main content
Log in

A parametrix method in integral geometry

  • Published:
Journal d'Analyse Mathématique Aims and scope

Abstract

The objective of reconstructive integral geometry is to recover a function from its integrals over a set of subvarieties. A parametrix is a method of reconstruction of a function from its integral data up to a smoothing operator. In the simplest case, a parametrix recovers a function with a jump singularity along a curve (surface) up to a continuous function, which can be quite informative in medical imaging. We provide an explicit construction for a wide class of acquisition geometries. The case of photo-acoustic geometry is of special interest.

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

Access this article

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. G. Beylkin, The inversion problem and applications of the generalized Radon transform, Comm. Pure Appl. Math. 37 (1984), 579–599.

    Article  MATH  MathSciNet  Google Scholar 

  2. A. P. Calderón and A. Zygmund, On singular integrals, Amer. J. Math. 78 (1956), 289–309.

    Article  MATH  MathSciNet  Google Scholar 

  3. D. Finch, M. Haltmeier and Rakesh, Inversion of spherical means and the wave equation in even dimensions, SIAM J. Appl. Math. 68 (2007), 392–412.

    Article  MATH  MathSciNet  Google Scholar 

  4. D. Finch, S. Patch, and Rakesh, Determining a function from its mean values over a family of spheres, SIAM J. Math. Anal. 35 (2004), 1213–1240.

    Article  MATH  MathSciNet  Google Scholar 

  5. M. Haltmeier, Inversion of circular means and the wave equation on convex planar domains, Comput. Math. Appl. 65 (2013), 1025–1036.

    Article  MATH  MathSciNet  Google Scholar 

  6. L. Hörmander, The Analysis of Linear Partial Differential Operators IV, Fourier Integral Operators, Springer, Berlin, 1985.

    MATH  Google Scholar 

  7. M. Idemen and A. Alkumru, On an inverse source problem connected with photo-acoustic and thermo-acoustic tomographies, Wave Motion 49 (2012), 595–604.

    Article  MathSciNet  Google Scholar 

  8. L. Kunyansky, Reconstruction of a function from its spherical (circular) means with the centers lying on the surface of certain polygons and polyhedra, Inverse Problems 27 (2011), 025012.

    Article  MathSciNet  Google Scholar 

  9. F. Natterer, Photo-acoustic inversion in convex domain, Inverse Prob. Imaging 6 (2012), 315–320.

    Article  MATH  MathSciNet  Google Scholar 

  10. V. Palamodov, Remarks on the general Funk transform and thermoacoustic tomography, Inverse Problems and Imaging 4 (2010), 693–702.

    Article  MATH  MathSciNet  Google Scholar 

  11. V. Palamodov, A uniform reconstruction formula in integral geometry, Inverse Problems 28 (2012), 065014.

    Article  MathSciNet  Google Scholar 

  12. L. Pestov and G. Uhlmann, On characterization of the range and inversion formulas for the geodesic X-ray transform, Int. Math. Res. Not. 2004, 4331–4347.

  13. D. A. Popov and D. V. Sushko, Image restoration in optical-acoustic tomography, Problemy Peredachi Informacii 40 (2004), no.3, 81–107; translation in Probl. Inf. Transm. 40 (2004), 254–278.

    MathSciNet  Google Scholar 

  14. L. Tartar, An Introduction to Sobolev Spaces and Interpolation Spaces, Springer, Berlin, 2007.

    MATH  Google Scholar 

  15. M. Xu and L. V. Wang, Universal back-projection algorithm for photoacoustic computed tomography, Phys. Rev. E 71 (2005), 016706.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to V. P. Palamodov.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Palamodov, V.P. A parametrix method in integral geometry. JAMA 125, 353–370 (2015). https://doi.org/10.1007/s11854-015-0011-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11854-015-0011-7

Keywords

Navigation