A New Approach to the Numerical Evaluation of the Inverse Radon Transform with Discrete, Noisy Data.

Abstract

The inner (singular) integral in the inverse Radon transform for parallel beam computerized tomography devices can be integrated analytically if the Radon transform considered as a function of the ray position along the detector, is a cubic polynomial spline. Furthermore by using some spline identities, large terms that cancel can be eliminated analytically and the calculation of the resulting expression for the inner integral done in a numerically stable fashion. We suggest using smoothing splines to smooth each set of projection data and by so doing obtain the Radon transform in the above spline form. The resulting analytic expression for the inner integral in the inverse transform is then readily evaluated, and the outer (periodic) integral is replaced by a sum. The work involved to obtain the inverse transform appears to be within the capability of existing computing equipment for typical large data sets. In this regularized transform method the regularization is controlled by the smoothing parameter in the splines. The regularization is directed against data errors and not to prevent unstable numerical operations. Strip integral as well as line integral data can be handled by this method. The method is shown to be closely related to the Tihonov form of regularization. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA088605

Entities

People

  • Grace Wahba

Organizations

  • University of Wisconsin Madison Department of Statistics

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Absorption Coefficients
  • Attenuation
  • Coefficients
  • Data Sets
  • Detection
  • Detectors
  • Geometry
  • Hilbert Space
  • Imaging Techniques
  • Integrals
  • Inversion
  • Low Resolution
  • Sensitivity
  • Test And Evaluation
  • Tomography
  • Two Dimensional
  • X Rays

Readers

  • Calculus or Mathematical Analysis
  • Linear Algebra