• DocumentCode
    1305507
  • Title

    Comparison of cepstrum-based methods for radial blind deconvolution of ultrasound images

  • Author

    Taxt, Torfinn

  • Author_Institution
    Sect. for Med. Image Anal. & Inf., Bergen Univ., Norway
  • Volume
    44
  • Issue
    3
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    666
  • Lastpage
    674
  • Abstract
    This paper compares the performance of seven different cepstrum-based methods for radial blind deconvolution of medical ultrasound images. The first is the generalized cepstrum method. The second is the spectral root cepstrum method. These methods have received little attention so far. The last five methods are all based on the complex cepstrum, but different computational techniques in the spatial and frequency domain are employed. Using in vivo radio frequency data from a clinical scanner, the generalized cepstrum method gave the best images closely followed by the complex cepstrum using phase unwrapping or polynomial rooting. The complex cepstrum method using higher-order statistics was ranked as low as number five. These results are an important guideline for selecting a specific cepstrum-based radial deconvolution method for implementation in ultrasound scanners.
  • Keywords
    acoustic signal processing; biomedical ultrasonics; cepstral analysis; deconvolution; medical image processing; ultrasonic imaging; clinical scanner; complex cepstrum method; generalized cepstrum method; higher-order statistics; in vivo radio frequency data; medical ultrasound image; phase unwrapping; polynomial rooting; radial blind deconvolution; spectral root cepstrum method; Biomedical imaging; Cepstrum; Deconvolution; Frequency domain analysis; Guidelines; Higher order statistics; In vivo; Polynomials; Radio frequency; Ultrasonic imaging;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/58.658327
  • Filename
    658327