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Proceedings Paper

Task specific evaluation of clinical full field digital mammography systems using the Fourier definition of the Hotelling observer SNR
Author(s): Haimo Liu; Aldo Badano; Luis Benevides; Kish Chakrabarti; Richard V. Kaczmarek; Iacovos S. Kyprianou
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Paper Abstract

Pixel Signal to Noise Ratio (SNR) is a commonly used clinical metric for evaluating mammography. However, we showed in this paper, the pixel SNR can produce misleading system detectability when image processing is utilized. We developed a simple, reliable and clinically applicable methodology to evaluate mammographic imaging systems using a task SNR that accounts for the imaging system performance in the presence of the patient. We used the Hotelling observer method in spatial frequency domain to calculate the task SNR of small disk test objects embedded in the breast tissue-equivalent series (BRTES) phantom for GE Senographe DS Full Field Digital Mammography (FFDM) system. The results were compared to the calculation of pixel SNR. We calculated the Hotelling observer SNR by estimating the generalized modulation transfer function (GMTF), generalized normalized noise power spectrum (GNNPS) and generalized noise equivalent quanta (GNEQ) in the presence of the breast phantom. The task SNR we calculated increased with the square root of the exposure as expected. Furthermore, we showed that the method is stable under image processing. The task SNR is a more reliable method for evaluating the performance of imaging systems especially under realistic clinical conditions where patient equivalent phantoms or image processing is used.

Paper Details

Date Published: 22 March 2010
PDF: 10 pages
Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 762212 (22 March 2010); doi: 10.1117/12.845509
Show Author Affiliations
Haimo Liu, Univ. of Maryland, College Park (United States)
U.S. Food and Drug Administration (United States)
Aldo Badano, U.S. Food and Drug Administration (United States)
Luis Benevides, National Naval Medical Ctr. (United States)
Kish Chakrabarti, U.S. Food and Drug Administration (United States)
Richard V. Kaczmarek, U.S. Food and Drug Administration (United States)
Iacovos S. Kyprianou, U.S. Food and Drug Administration (United States)

Published in SPIE Proceedings Vol. 7622:
Medical Imaging 2010: Physics of Medical Imaging
Ehsan Samei; Norbert J. Pelc, Editor(s)

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