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Proceedings Paper

Investigation of optimal kVp settings for CT mammography using a flat-panel imager
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Paper Abstract

Detection of lesions in planar mammograms is a difficult task, predominantly due to the masking effect of superimposed parenchymal breast patterns. Tomographic imaging of the breast can provide image slices through the breast, possibly reducing this masking effect. In recent years, there has been interest in developing CT mammography using flat-panel digital detectors in a truncated cone-beam geometry. In this study, we have developed a framework for determining optimal design and acquisition parameters for such a CT mammographic system. The ideal observer SNR is used as a figure-of-merit, under the assumptions that the imaging system is linear and shift-invariant, and that the noise is stationary. The ideal observer calculation uses mathematical models of signal and noise propagation through the flat-panel detector, and realistic models of the lesion detection task in breast imaging. It is used to investigate optimal kVp settings of a tungsten anode spectra for CT imaging of the uncompressed breast, given the constraint of an average glandular dose approximately equivalent to that of a two-view planar mammography study. It is observed that modeling a realistic mammographic background structure into the detection task can affect the optimal kVp settings suggested by the ideal observer SNR. Since the exposure/view in flat-panel CT mammography is considerably lower than for planar mammography, it is observed that electronic additive noise can also affect the optimal kVp setting. In general, the optimal kVp settings for the tungsten anode spectra studied here were in the range of 30-50 kVp.

Paper Details

Date Published: 3 May 2002
PDF: 11 pages
Proc. SPIE 4682, Medical Imaging 2002: Physics of Medical Imaging, (3 May 2002); doi: 10.1117/12.465581
Show Author Affiliations
Stephen J. Glick, Univ. of Massachusetts Medical School (United States)
Srinivasan Vedantham, Univ. of Massachusetts Medical School (United States)
Andrew Karellas, Univ. of Massachusetts Medical School (United States)


Published in SPIE Proceedings Vol. 4682:
Medical Imaging 2002: Physics of Medical Imaging
Larry E. Antonuk; Martin Joel Yaffe, Editor(s)

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