DQE and system optimization for indirect-detection flat-panel imagers in diagnostic radiology

J. H. Siewerdsen, L. E. Antonuk

Research output: Contribution to journalConference articlepeer-review

22 Scopus citations


The performance of indirect-detection flat-panel imagers incorporating CsI:Tl x-ray converters is examined through calculation of the detective quantum efficiency (DQE) under conditions of chest radiography, fluoroscopy, and mammography. Calculations are based upon a cascaded systems model which has demonstrated excellent agreement with empirical signal, noise-power spectra, and DQE results. For each application, the DQE is calculated as a function of spatial-frequency and CsI:Tl thickness. A preliminary investigation into the optimization of flat-panel imaging systems is described, wherein the x-ray converter thickness which provides optimal DQE for a given imaging task is estimated. For each application, a number of example tasks involving detection of an object of variable size and contrast against a noisy background are considered. The method described is fairly general and can be extended to account for a variety of imaging tasks. For the specific examples considered, the preliminary results estimate optimal CsI:Tl thicknesses of ∼450 μm (∼200 mg/cm2), ∼320 μm (∼140 mg/cm2), and ∼200 μm (∼90 mg/cm2) for chest radiography, fluoroscopy, and mammography, respectively. These results are expected to depend upon the imaging task as well as upon the quality of available CsI:Tl, and furore improvements in scintillator fabrication could result in increased optimal thickness and DQE.

Original languageEnglish (US)
Pages (from-to)546-555
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Dec 1 1998
Externally publishedYes
EventMedical Imaging 1998: Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 22 1998Feb 24 1998


  • Detective quantum efficiency
  • Diagnostic x-ray imaging
  • Flat-panel imagers
  • Fluoroscopy
  • Mammography
  • Optimization
  • Radiography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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