Lee, Eunae Kim, Dong Sik 2024-01-19T09:34:07Z 2024-01-19T09:34:07Z 2023-05-25 2023-04 2169-3536 https://pubs.kist.re.kr/handle/201004/113808 Lag signal problems occur in acquiring X-ray image sequences from dynamic flat-panel detectors due to amorphous pixel photodiodes and incomplete readouts. Based on a linear, time-invariant system with a multiple exponential moving average model for the lag signal, Hsieh et al. proposed a recursive deconvolution algorithm for lag corrections, and Starman et al. proposed a nonlinear correction algorithm to cope with nonlinear lag properties. In this paper, we consider an autoregressive model of order 1 to describe lag signals and conduct lag corrections through simple linear and nonlinear decorrelation schemes for the exposure-dependent lag signals. In order to correct the current image frame, using only the previous frame is enough for the autoregressive model. We also evaluate the lag correction performance of the proposed lag correction algorithms by measuring the lag correction factor to show the successful removal of the lag signals with low computational complexities. English Institute of Electrical and Electronics Engineers Inc. Nonlinear Lag Correction Based on the Autoregressive Model for Dynamic Flat-Panel Detectors Article 10.1109/ACCESS.2023.3268521 1 IEEE Access, v.11, pp.39950 - 39957 IEEE Access 11 39950 39957 Y scie scopus 000981899100001 2-s2.0-85153487961 Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Telecommunications Article CORRECTION ALGORITHM X-ray imaging Detectors Photodiodes Logic gates Heuristic algorithms Decorrelation Thin film transistors Autoregressive model fluoroscopic imaging lag correction lag correction factor (LCF) power spectral density (PSD) spectral flatness measure