• DocumentCode
    2481058
  • Title

    P5C-3 Field Simulation Parameters Design for Realistic Statistical Parameters of Radio - Frequency Ultrasound Images

  • Author

    Liebgott, H. ; Bernard, O. ; Cachard, C. ; Friboulet, D.

  • Author_Institution
    Univ. Lyon 1, Lyon
  • fYear
    2007
  • fDate
    28-31 Oct. 2007
  • Firstpage
    2247
  • Lastpage
    2250
  • Abstract
    In this paper we present a study for designing realistic ultrasound image simulations from a statistical point of view. Indeed it is extremely important to be able to compute realistic simulated images for validating segmentation or classification methods based on the statistics of ultrasound images. The statistics of the radio frequency (RF) signals is modeled by a distribution called K-RF distribution. The scatterers modeling the medium are uniformly spatially distributed and have scattering coefficients modeled by a K-distribution. The concentration of scatterers and the statistics of their amplitude determine the statistics of the RF signals. We show how scale and shape parameters of the K-RF distribution modeling the RF signal are influenced by concentration, scale and shape parameters of the K distribution modeling the scatterers echogenecity. This study is carried out with the field II simulation program.
  • Keywords
    biomedical ultrasonics; image classification; image segmentation; medical image processing; statistical distributions; ultrasonic scattering; K-RF distribution modeling; field simulation parameters design; image classification; image segmentation; medical images; radiofrequency ultrasound image simulation; realistic statistical parameters; scatterer echogenecity modeling; scattering coefficients; Acoustic scattering; Acoustic transducers; Computational modeling; Image segmentation; Radio frequency; Shape; Speckle; Statistical distributions; Statistics; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2007. IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1051-0117
  • Print_ISBN
    978-1-4244-1384-3
  • Electronic_ISBN
    1051-0117
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2007.565
  • Filename
    4410138