Paper
10 March 2009 SKE/BKE task-based methodology for calculating Hotelling observer SNR in mammography
Haimo Liu, Iacovos S. Kyprianou, Aldo Badano, Kyle J. Myers, Robert J. Jennings, Subok Park, Richard V. Kaczmarek, Kish Chakrabarti
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72581D (2009) https://doi.org/10.1117/12.813833
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
A common method for evaluating projection mammography is Contrast-Detail (CD) curves derived from the CD phantom for Mammography (CDMAM). The CD curves are derived either by human observers, or by automated readings. Both methods have drawbacks which limit their reliability. The human based reading is significantly affected by reader variability, reduced precision and bias. On the other hand, the automated methods suffer from limited statistics. The purpose of this paper is to develop a simple and reliable methodology for the evaluation of mammographic imaging systems using the Signal Known Exactly/Background Known Exactly (SKE/BKE) detection task for signals relevant to mammography. In this paper, we used the spatial definition of the ideal, linear (Hotelling) observer to calculate the task-specific SNR for mammography and discussed the results. The noise covariance matrix as well as the detector response H matrix of the imaging system were estimated and used to calculate the SNRSKEBKE for the simulated discs of the CDMAM. The SNR as a function of exposure, disc diameter and thickness were calculated.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haimo Liu, Iacovos S. Kyprianou, Aldo Badano, Kyle J. Myers, Robert J. Jennings, Subok Park, Richard V. Kaczmarek, and Kish Chakrabarti "SKE/BKE task-based methodology for calculating Hotelling observer SNR in mammography", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72581D (10 March 2009); https://doi.org/10.1117/12.813833
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Cited by 5 scholarly publications.
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KEYWORDS
Signal to noise ratio

Sensors

Imaging systems

Mammography

Signal detection

Polymethylmethacrylate

X-rays

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