DOI: https://doi.org/10.26089/NumMet.v19r446

Tomographic reconstruction of a region with a given density value

Authors

  • A.V. Likhachov

Keywords:

two-dimensional tomography
image histogram
distribution of pixel brightness

Abstract

A new tomographic method is proposed to find the object’s region filled with a homogeneous substance whose density is given. Its essence is that a pixel of the tomogram is assumed to belong to the image of the region if its brightness lies in a certain interval whose boundaries are determined from the minimum condition for the weighted sum of the error probabilities of the first and second kinds. In order to determine these probabilities, some statistical hypotheses on the distribution of pixel brightness in the reconstructed image are formulated. The adopted hypotheses are confirmed by numerical results.


Published

2018-12-24

Issue

Section

Section 1. Numerical methods and applications

Author Biography

A.V. Likhachov


References

  1. A. N. Tikhonov, V. Ya. Arsenin, and A. A. Timonov, Mathematical Problems of Computer Tomography (Nauka, Moscow, 1987) [in Russian].
  2. F. Natterer, The Mathematics of Computerized Tomography (Wiley, New York, 1986; Mir, Moscow, 1990).
  3. L. A. Shepp and B. F. Logan, “The Fourier Reconstruction of a Head Section,” IEEE Trans. Nucl. Sci. 21 (3), 21-43 (1974).
  4. G. T. Herman, Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Academic, New York, 1980; Mir, Moscow, 1983).
  5. M. M. Lavrent’ev, S. M. Zerkal, and O. E. Trofimov, Computer Modeling in Tomography and Ill-Posed Problems (IDMI NGU, Novosibirsk, 1999; VSP, Utrecht, 2001).
  6. A. V. Likhachov, “Investigating of 1/z^{2} Filtering in Tomography Algorithms,” Avtometriya 43 (3), 57-64 (2007) [Optoelectr., Instrum. Data Process. 43 (3), 239-245 (2007)].
  7. A. V. Likhachov, “Regularizing Filtration of Projections for Two-Dimensional Tomography Algorithms,” Sib. Zh. Vych. Mat. 11 (2), 187-200 (2008) [Numer. Anal. Appl. 1 (2), 151-162 (2008)].
  8. B. V. Gnedenko, The Theory of Probability (Nauka, Moscow, 1988; Chelsea, New York, 1989).
  9. A. V. Likhachov and Yu. A. Shibaeva, “Dependence of Tomography Reconstruction Accuracy on Noise Correlation Function Involved in Projection Data,” Tsifrovaya Obrabot. Signal., No. 2, 28-34 (2015).
  10. V. S. Pugachev, Theory of Probability and Mathematical Statistics (Nauka, Moscow, 1979) [in Russian].