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14 March 2009 Noise and signal detection in digital x-ray detectors using the spatial definition of SNR
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Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 725819 (2009) https://doi.org/10.1117/12.813843
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
For task specific evaluation of imaging systems it is necessary to obtain detailed descriptions of their noise and deterministic properties. In the past we have developed an experimental and theoretical methodology to estimate the deterministic detector response of a digital x-ray imaging system, also known as the H matrix. In this paper we have developed the experimental methodology for the evaluation of the quantum and electronic noise of digital radiographic detectors using the covariance matrix K. Using the H matrix we calculated the transfer of a simulated coronary artery constriction through an imaging system's detector, and with the covariance matrix we calculated the detectability (or Signal-to-Noise Ratio) and the detection probability. The eigenvalues and eigenvectors of the covariance matrix were presented and the electronic and quantum noise were analyzed. We found that the exposure at which the electronic noise equals the quantum noise at 90 kVp was 0.2 μR. We compared the ideal Hotelling observer with the Fourier definition of the SNR for a toroidal stenosis on a cylindrical vessel. Because of the shift-invariance and cyclo-stationarity assumptions, the Fourier SNR overestimates the performance of imaging systems. This methodology can be used for task specific evaluation and optimization of a digital x-ray imaging system.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Iacovos S. Kyprianou, Aldo Badano, Subok Park, Haimo Liu, and Kyle J. Myers "Noise and signal detection in digital x-ray detectors using the spatial definition of SNR", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725819 (14 March 2009); https://doi.org/10.1117/12.813843
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