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Dynamic Image Reconstruction: General estimation Principles for Dynamic tomography

V. M. Artemiev, A. O. Naumov
Institute of Applied Physics, Akademicheskaya str.16, 220072, Minsk, Belarus.
G.-R.Tillack
Federal Institute for Materials Research and Testing (BAM), Unter den Eichen 87,12205 Berlin, Germany.
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1. Introduction

2. Gaussian dynamic image model

3. The observability of the reconstruction as an estimation problem

4. The Bayesian approach for the dynamic image reconstruction.

5. The dynamic image reconstruction for simulated data.

6. Conclusions

7. References

  1. Williams R A and Beck M S (Eds.) 1995 Process Tomography - Principles, Techniques and Applications (Oxford: Butterworth-Heinemann)
  2. Herman G T 1980 Image Reconstruction from Projections. The Fundamentals of Computerized Tomography (New York: Academic Press)
  3. Sage A P and Melse I L 1971 Estimation Theory with Applications to Communication and Control (New York: McGraw-Hill)
  4. Jarlikov M S and Mironov M A 1993 Markov Estimation Theory for Random Processes (Moscow: Radio i Sviaz, in Russian)

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