Translator Disclaimer
25 April 2000 Quantitative analysis of performance of selenium flat-panel detector for interventional mammography
Author Affiliations +
The purpose of this paper is to analyze the image quality of a selenium-based flat panel detector suited for digital interventional mammography. To characterize the image quality, the DQE was measured at various x-ray exposures. The results indicate that when the detector is quantum noise limited, the DQE is independent of the exposure. A measurement of the quantum detection efficiency of 90% indicates that an electrostatic field shaping effect within the selenium layer gives a greater collection efficiency than that predicted simply by the geometric fill factor of each pixel collection electrode. Measurements were also conducted to determine the relative strength of ghost images on the detector. An image of a high contrast object using an exposure of 183 mR was acquired, followed by a low exposure 6 mR flat field image. No visual indication of a ghost could be found in the latter image even after appropriate windowing and leveling of the image was performed. A subjective comparison of image quality between film/screen and the detector was conducted by acquiring images of the ACR phantom under various exposure conditions. The digital images were printed on film using optimally adjusted LUT's. The resulting images were randomly presented to 15 non-trained observers, who assessed a score for each image. The comparison results show that the image quality obtained with the digital detector is superior to the images acquired with film/screen.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anne Debrie, Brad T. Polischuk, Henri Rougeot, Marc Hansroul, Eric Poliquin, Mario Caron, Kerwin Wong, Ziad Shukri, and Jean-Pierre Martin "Quantitative analysis of performance of selenium flat-panel detector for interventional mammography", Proc. SPIE 3977, Medical Imaging 2000: Physics of Medical Imaging, (25 April 2000);


Back to Top