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Article type: Research Article
Authors: Jiang, Hangyi | Chen, Wei R.; | Liu, Hong
Affiliations: Center for Bioengineering and School of Electrical Engineering, University of Oklahoma, Norman, OK 73019, USA | Department of Physics and Engineering, University of Central Oklahoma, Edmond, OK 73034, USA | Department of Physics and Astronomy, University of Oklahoma, Norman, OK 73019, USA
Note: [] Current address: Hangyi Jiang, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA
Note: [] Corresponding author: Hong Liu, PhD, Professor and Smith Chair, School of Electrical Engineering, University of Oklahoma, Norman, OK 73019, USA. Tel.: +1 405 325 4286; E-mail: liu@ou.edu
Abstract: Full-field digital mammography imaging systems have been investigated extensively. However, most investigations focus on the quality assessment of the entire image. In this article, we present the results of experimental measurements on the position-dependent image characteristics of a CCD array-based digital imaging system. Objective image quality parameters such as noise power spectrum (NPS) and signal-to-noise ratio (SNR), which are also frequency-dependent, are employed for this investigation. The image detector uses 12 CCDs arranged in a 4 × 3 array to cover a field of 18 cm × 24 cm with a single x-ray exposure. Totally 18 sub-areas were chosen as the regions-of-interest (ROIs) for each full-field image to study position-dependent characteristics. Our experimental results indicate that the image quality at different positions of the full-field image exhibit slightly variance due to the characteristic diversity of the CCDs and due to the oblique angle of the ROIs to the x-ray source. The image seams caused by the physical gaps between adjacent CCDs do not increase the noise components significantly to the composite full-field image. The x-ray energy-dependence of NPS and SNR was also studied.
Keywords: noise power spectra, modulation transfer function, image quality, digital radiography, full-field mammography systems, signal-to-noise ratio
Journal: Journal of X-Ray Science and Technology, vol. 9, no. 3-4, pp. 101-111, 2001
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