Optimal kVp selection for dual-energy imaging of the chest: Evaluation by task-specific observer preference tests

Human observer performance tests were conducted to identify optimal imaging techniques in dual-energy (DE) imaging of the chest with respect to a variety of visualization tasks for soft and bony tissue. Specifically, the effect of kVp selection in low- and high-energy projection pairs was investigat...

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Veröffentlicht in:Medical physics (Lancaster) 2007-10, Vol.34 (10), p.3916-3925
Hauptverfasser: Williams, D. B., Siewerdsen, J. H., Tward, D. J., Paul, N. S., Dhanantwari, A. C., Shkumat, N. A., Richard, S., Yorkston, J., Van Metter, R.
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Sprache:eng
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Zusammenfassung:Human observer performance tests were conducted to identify optimal imaging techniques in dual-energy (DE) imaging of the chest with respect to a variety of visualization tasks for soft and bony tissue. Specifically, the effect of kVp selection in low- and high-energy projection pairs was investigated. DE images of an anthropomorphic chest phantom formed the basis for observer studies, decomposed from low-energy and high-energy projections in the range 60 – 90 kVp and 120 – 150 kVp , respectively, with total dose for the DE image equivalent to that of a single chest radiograph. Five expert radiologists participated in observer preference tests to evaluate differences in image quality among the DE images. For visualization of soft-tissue structures in the lung, the [ 60 ∕ 130 ] kVp pair provided optimal image quality, whereas [ 60 ∕ 140 ] kVp proved optimal for delineation of the descending aorta in the retrocardiac region. Such soft-tissue detectability tasks exhibited a strong dependence on the low-kVp selection (with 60 kVp providing maximum soft-tissue conspicuity) and a weaker dependence on the high-kVp selection (typically highest at 130 – 140 kVp ). Qualitative examination of DE bone-only images suggests optimal bony visualization at a similar technique, viz., [ 60 ∕ 140 ] kVp . Observer preference was largely consistent with quantitative analysis of contrast, noise, and contrast-to-noise ratio, with subtle differences likely related to the imaging task and spatial-frequency characteristics of the noise. Observer preference tests offered practical, semiquantitative identification of optimal, task-specific imaging techniques and will provide useful guidance toward clinical implementation of high-performance DE imaging systems.
ISSN:0094-2405
2473-4209
DOI:10.1118/1.2776239