• DocumentCode
    1292659
  • Title

    Small element array algorithm for correcting phase aberrations using near-field signal redundancy. Part II: Experimental results

  • Author

    Li, Yue ; Robinson, Brent

  • Author_Institution
    CSIRO, Lindfield, NSW, Australia
  • Volume
    47
  • Issue
    1
  • fYear
    2000
  • Firstpage
    49
  • Lastpage
    57
  • Abstract
    For part I see ibid., vol.47, p.29 (2000). A small element array algorithm for phase-aberration correction using near-field signal redundancy was proposed in part I. Using this algorithm, subarrays are formed to narrow the transmitted and received beams when collecting common midpoint signals, so that angle-dependent aberration profiles across the array can be measured. In this paper, this algorithm is tested on data collected from a phantom with a non-isoplanatic aberrator attached to the front surface of a phased array. The aberrator is made from cast room temperature vulcanizing (RTV) silicone rubber, which has a sound velocity of about 1.02 mm/spl middot//spl mu/s/sup -1/. Results show that the subarray technique can be used to measure and correct angle-dependent, phase-aberration profiles. The theoretical results regarding the performance of several implementation methods for dynamic near-field delay correction on subarrays are also experimentally tested using data from a phantom.
  • Keywords
    aberrations; redundancy; ultrasonic imaging; ultrasonic velocity; angle-dependent aberration profiles; common midpoint signals; near-field signal redundancy; nonisoplanatic aberrator; phase aberrations; silicone rubber; small element array; sound velocity; subarrays; Delay; Goniometers; Imaging phantoms; Phase measurement; Phased arrays; Position measurement; Pulse measurements; Shape measurement; Testing; Time measurement;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/58.818747
  • Filename
    818747