State of the Art: Iterative CT reconstruction techniques1

Lucas L. Geyer, U. Joseph Schoepf, Felix G. Meinel, John W. Nance, Gorka Bastarrika, Jonathon A. Leipsic, Narinder S. Paul, Marco Rengo, Andrea Laghi, Carlo N. De Cecco

Research output: Contribution to journalReview articlepeer-review

341 Scopus citations


Owing to recent advances in computing power, iterative reconstruction (IR) algorithms have become a clinically viable option in computed tomographic (CT) imaging. Substantial evidence is accumulating about the advantages of IR algorithms over established analytical methods, such as filtered back projection. IR improves image quality through cyclic image processing. Although all available solutions share the common mechanism of artifact reduction and/or potential for radiation dose savings, chiefly due to image noise suppression, the magnitude of these effects depends on the specific IR algorithm. In the first section of this contribution, the technical bases of IR are briefly reviewed and the currently available algorithms released by the major CT manufacturers are described. In the second part, the current status of their clinical implementation is surveyed. Regardless of the applied IR algorithm, the available evidence attests to the substantial potential of IR algorithms for overcoming traditional limitations in CT imaging.

Original languageEnglish (US)
Pages (from-to)339-357
Number of pages19
Issue number2
StatePublished - Aug 1 2015

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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