• 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