Properties of preprocessed sinogram data in x-ray computed tomography

Bruce R. Whiting, Parinaz Massoumzadeh, Orville A. Earl, Joseph A. O'Sullivan, Donald L. Snyder, Jeffrey F. Williamson

Research output: Contribution to journalArticlepeer-review

175 Scopus citations


The accurate determination of x-ray signal properties is important to several computed tomography (CT) research and development areas, notably for statistical reconstruction algorithms and dose-reduction simulation. The most commonly used model of CT signal formation, assuming monoenergetic x-ray sources with quantum counting detectors obeying simple Poisson statistics, does not reflect the actual physics of CT acquisition. This paper describes a more accurate model, taking into account the energy-integrating detection process, nonuniform flux profiles, and data-conditioning processes. Methods are developed to experimentally measure and theoretically calculate statistical distributions, as well as techniques to analyze CT signal properties. Results indicate the limitations of current models and suggest improvements for the description of CT signal properties.

Original languageEnglish
Pages (from-to)3290-3303
Number of pages14
JournalMedical physics
Issue number9
StatePublished - 2006


  • Computed tomography
  • Energy-integrating detection
  • Flux uniformity
  • Probability distribution function
  • Signal detection
  • X ray


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