Iterative reconstruction techniques in emission computed tomography

  • Qi J
  • Leahy R
  • 1


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


In emission tomography statistically based iterative methods can improve image quality relative to analytic image reconstruction through more accurate physical and statistical modelling of high-energy photon production and detection processes. Continued exponential improvements in computing power, coupled with the development of fast algorithms, have made routine use of iterative techniques practical, resulting in their increasing popularity in both clinical and research environments. Here we review recent progress in developing statistically based iterative techniques for emission computed tomography. We describe the different formulations of the emission image reconstruction problem and their properties. We then describe the numerical algorithms that are used for optimizing these functions and illustrate their behaviour using small scale simulations.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in


  • Jinyi Qi

  • R M Leahy

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free