• DocumentCode
    432266
  • Title

    Spatial coding with curved wavefronts

  • Author

    Zemp, Roger ; Insana, Michael F.

  • Author_Institution
    Dept. of Biomed. Eng., California Univ., Davis, CA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    23-27 Aug. 2004
  • Firstpage
    1258
  • Abstract
    Curved wavefronts of unfocused beams can be viewed as spatial codes that can be decoded to produce high quality images. The decoding process can be performed by spatial matched or Wiener filtering methods that are a generalization of synthetic receive processing for large apertures rather than small elements. Advantages of this technique over dynamic receive processing include potentially greater echo signal-to-noise ratio and improved spatial resolution. An analytical treatment of weakly focused Gaussian apodized beams shows that the spatial bandwidth is approximately constant with depth. Experiments and simulations illustrate the efficacy of spatial coding.
  • Keywords
    Gaussian distribution; Wiener filters; array signal processing; biomedical ultrasonics; decoding; image coding; image resolution; matched filters; medical image processing; spatial filters; ultrasonic arrays; ultrasonic imaging; Wiener filtering; curved wavefronts; decoding; echo signal-to-noise ratio; high quality images; large apertures; medical ultrasound imaging; spatial bandwidth; spatial codes; spatial coding; spatial matched filtering; spatial resolution; synthetic receive processing; unfocused beams; weakly focused Gaussian apodized beams; Chirp; Decoding; Filtering; Focusing; Frequency; Lesions; Matched filters; Spatial resolution; Ultrasonic imaging; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2004 IEEE
  • ISSN
    1051-0117
  • Print_ISBN
    0-7803-8412-1
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2004.1418017
  • Filename
    1418017