Abstract
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 language | English (US) |
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Pages (from-to) | 546-555 |
Number of pages | 10 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 3336 |
DOIs | |
State | Published - Dec 1 1998 |
Externally published | Yes |
Event | Medical Imaging 1998: Physics of Medical Imaging - San Diego, CA, United States Duration: Feb 22 1998 → Feb 24 1998 |
Keywords
- 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