Abstract
Visualization of stents is of great interest in X-ray fluoroscopy. For stent visualization, detector pixel size must be small to reduce contrast dilution from partial area effect, but reducing pixel size lowers the number of photons collected, reducing the signal-to-noise ratio (SNR). In this study, we use a computational human observer model to predict human performance for stent detection and stent deployment detection as a function of pixel size. Predictions are made for an ideal and indirect flat-panel (FP) detector at three exposures. For an ideal detector, regardless of the task or exposure, the optimal pixel size was 50 /spl mu/m. For an indirect detector, optimal pixel size depends on task and exposure. Pixel sizes were 80, 80, and 60 /spl mu/m for stent detection and 60, 60, and 50 /spl mu/m for stent deployment, at 5, 10, and 20 /spl mu/R per frame, respectively.
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