• DocumentCode
    1086154
  • Title

    The impact of various imaging parameters on ultrasonic displacement and velocity estimates

  • Author

    Chen, Eric J. ; Jenkins, W. Kenneth ; O´Brien, William D., Jr.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    41
  • Issue
    3
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    293
  • Lastpage
    301
  • Abstract
    The accuracy of displacement and velocity data in ultrasonic motion detection systems depends on a combination of ultrasonic imaging parameters. These include magnitude and direction of target motion, target region dimensions, scattering media, ultrasonic frequency of interrogation, digital sampling frequency, and signal type (envelope detected or RF). Because the impact of scattering media in particular has heretofore received little or no attention, we provide experimental results and computer analysis to evaluate the influence of different scattering media on the accuracy of ultrasonic displacement and velocity estimates using porcine liver, porcine muscle, and woolen sea sponge samples. Our experimental results show that for identical target dimensions and displacements, the accuracy of ultrasonic displacement and velocity estimates in porcine muscle samples are substantially higher than in porcine liver samples. Analysis of experimentally derived autocovariance curves for each tissue type indicates that the improvement in accuracy for muscle samples is not, in fact, due to differences in the speckle characteristics for each tissue type. The improvement is attributed to the presence of well-defined and resolvable image structures from muscle and the lack of such resolvable structures in porcine liver tissue. We provide a summary of the factors impacting ultrasonic displacement and velocity measurements, and discuss why and how a combination of one or more imaging parameters affects these measurements.<>
  • Keywords
    acoustic imaging; biomedical ultrasonics; liver; medical image processing; motion estimation; muscle; speckle; ultrasonic scattering; US imaging; autocovariance curves; computer analysis; digital sampling frequency; medical imaging; porcine liver; porcine muscle; scattering media; signal type; speckle characteristics; target region dimensions; tissue type; ultrasonic displacement estimates; ultrasonic frequency of interrogation; ultrasonic imaging parameters; ultrasonic motion detection systems; ultrasonic velocity estimates; velocity data; woolen sea sponge sample; Frequency; Image resolution; Liver; Motion detection; Muscles; RF signals; Sampling methods; Scattering; Ultrasonic imaging; Velocity measurement;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/58.285462
  • Filename
    285462