Linear Lag Models and Measurements of the Lag Correction Factors

For fluoroscopic imaging, flat-panel dynamic detectors can acquire X-ray image sequences with frame rates higher than 300 frames per second. However, the sequentially acquired images have artifacts due to lag signals, which are caused from trapping charges in amorphous structure and incomplete reads. Furthermore, signal lowers noise power spectrum (NPS) of detector; hence, detector performance be inflated. Conventional approaches for correcting measured NPS based on correction factor (LCF). Various LCF measurement methods been developed moving average auto-regressive models. Current require high computational complexities many images. In this paper, we first review current next propose three simplified forms under an autoregressive model order 1 temporal periodogram mean line means. Here, suggest schemes that deal several disturbances, such as nonuniform gains exposure leaks, accurately measure LCF. A comparative establish a taxonomy measurements. Through extensive experiments using detectors, it is shown proposed yield comparable performances lower compared existing methods.