• Gabor T. Herman
Reference work entry


We define tomography as the process of producing an image of a distribution (of some physical property) from estimates of its line integrals along a finite number of lines of known locations. We touch upon the computational and mathematical procedures underlying the data collection, image reconstruction, and image display in the practice of tomography. The emphasis is on reconstruction methods, especially the so-called series expansion reconstruction algorithms.

We illustrate the use of tomography (including three-dimensional displays based on reconstructions) both in electron microscopy and in x-ray computerized tomography (CT), but concentrate on the latter. This is followed by a classification and discussion of reconstruction algorithms. In particular, we discuss how to evaluate and compare the practical efficacy of such algorithms.


Reconstruction Algorithm Projection Data Helical Computerize Tomography Source Position Line Integral 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References and Further Reading

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Gabor T. Herman
    • 1
  1. 1.The Graduate Center of the City University of New YorkNew YorkUSA

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