Minimization of Dose Load in Algorithms of X-Ray Computed Tomography

  • L. A. Bulavin Taras Shevchenko National University of Kyiv
  • Yu. F. Zabashta Taras Shevchenko National University of Kyiv
  • O. V. Motolyha Taras Shevchenko National University of Kyiv
Keywords: computed tomography, dose load, reconstruction methods, theory of ill-posed problems

Abstract

An algorithm has been developed for the reconstruction of an X-ray image obtained at the minimum dose load on the researched object and provided a given image accuracy. This algorithm combines approaches typical of the inverse projection and regularization methods. The image is formed by overlaying filtered projections, and the filtering parameters are determined from the minimum condition for the difference between the discrepancy and the experimental error.

References

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D. Stanley. The Radon Transform and Some of Its Applications (Wiley, 1983).

G.T. Herman. Fundamentals of Computerized Tomography: Image Reconstruction from Projection (Springer, 2009).

A.N. Tikhonov, V.Ya. Arsenin, Solutions of Ill-Posed Problems (Wiley, 1977).

L. Shepp, B. Logan. The Fourier reconstruction of a head section. IEEE Trans. Nuclear Sci. 21, N 3, 21 (1974).

P. Suetens. Fundamentals of Medical Imaging (Cambridge Univ. Press, 2011).

Published
2019-05-16
How to Cite
Bulavin, L., Zabashta, Y., & Motolyha, O. (2019). Minimization of Dose Load in Algorithms of X-Ray Computed Tomography. Ukrainian Journal of Physics, 64(4), 282. https://doi.org/10.15407/ujpe64.4.282
Section
Physics of liquids and liquid systems, biophysics and medical physics