DocumentCode :
863370
Title :
Techniques to improve the accuracy and to reduce the variance in noise power spectrum measurement
Author :
Jiang, Hangyi ; Chen, Wei R. ; Liu, Hong
Author_Institution :
Center for Bioeng. & Sch. of Electr. Eng., Oklahoma Univ., Norman, OK, USA
Volume :
49
Issue :
11
fYear :
2002
Firstpage :
1270
Lastpage :
1278
Abstract :
Several techniques to increase the accuracy and to reduce the variance of the noise power spectrum (NPS) measurement for digital X-ray imaging systems are investigated. These techniques include: (1) averaging the outputs from subblocks of the entire image; (2) averaging the two-dimensional NPS data along a circular route centered on the origin of spectral domain; and (3) masking a window function on each subblock before Fourier transforms. Techniques (1) and (2) are used mainly to reduce the variance of the NPS measurement. Technique (3) serves to improve the accuracy of the final result. Experiments with two different charge-coupled device-based X-ray imaging systems demonstrated that the precision and accuracy of the NPS measurement could be significantly improved using these techniques. The impact of the image partition for averaging is discussed and the corresponding NPS estimations are presented for the number of subblocks ranging from 4 to 64. The effect of masking on the NPS is also studied using four different window functions.
Keywords :
correlation methods; diagnostic radiography; discrete Fourier transforms; frequency response; image resolution; image sampling; medical image processing; smoothing methods; spectral analysis; Fourier transform; autocorrelation function; charge-coupled device-based systems; circular route; digital X-ray imaging systems; image partition; image quality; increased accuracy; lens-coupled system; noise power spectrum measurement; reduced variance; spectral domain; stationary ergodic process; subblock partition; two-dimensional data; window function; Autocorrelation; Biomedical engineering; Current measurement; Digital systems; Fourier transforms; Frequency estimation; Noise measurement; Noise reduction; Power measurement; X-ray imaging; Models, Statistical; Phantoms, Imaging; Quality Control; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2002.804595
Filename :
1046935
Link To Document :
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