Title :
Impact of Additive Noise on System Performance of a Digital X-ray Imaging System
Author :
Zhang, Da ; Rong, John ; Chen, Wei R. ; Gao, Feng ; Xu, Kexin ; Wu, Xizeng ; Liu, Hong
Author_Institution :
Center for Bioeng., Oklahoma Univ., Norman, OK
Abstract :
The impact of additive noise on the performance of a digital X-ray imaging system was investigated. The X-ray system is uniquely designed for small animal studies with a focal spot of 20mum and an adjustable source-to-object distance for radiography. The noise power spectrum and the detective quantum efficiency of this system were measured. The additive noise increased rapidly when the exposure time exceeded a certain range, since the charge-coupled devices of the detector had no cooling system. The noise power spectrum for the additive noise and the noise of the entire imaging system were studied and compared at different exposure times. The detective quantum efficiency was also measured at different exposure times. It was observed that for exposure times less than 10 s, the detective quantum efficiency ((DQE)(0)) is approximately 0.26, dropping to 0.13 at 4 lp/mm and to 0.026 at 8 lp/mm. However, when the exposure exceeds a certain limit (10 s in this study), the rapidly increased additive noise caused the system to be no longer quantum noise limited, resulting in a decreased detective quantum efficiency and a degraded system performance. For example, at an exposure of 20 s, the DQE(0) is approximately 0.22, dropping to 0.11 at 3 lp/mm and to 0.022 at 8 lp/mm
Keywords :
diagnostic radiography; noise; 10 s; 20 mum; 20 s; additive noise; detective quantum efficiency; digital X-ray imaging system; noise power spectrum; radiography; small animal studies; system performance; Additive noise; Animals; Cooling; Degradation; Detectors; Noise measurement; Power measurement; Radiography; System performance; X-ray imaging; Additive noise; detective quantum efficiency; digital X-ray imaging; exposure time; noise power spectrum; Algorithms; Artifacts; Equipment Design; Equipment Failure Analysis; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.884643