Applications of Spatial Coherence to Ultrasonic Imaging – ICIAM 2023

Abstract

Conventional pulse-echo ultrasound imaging relies primarily on signals’ relative magnitudes and is limited in its ability to mitigate acoustic clutter and other types of image degradation. Advances in computing power have recently enabled an alternative data analysis method utilizing spatial coherence, a measure of the similarity of the signals received across an ultrasound array. The theory of spatial coherence and applications to diagnostic medical ultrasound imaging will be reviewed.

Authors

• • David Pierson Bradway (Duke University)
  • Gregg Trahey (Duke University)
  • Nick Bottenus (University of Colorado Boulder)
  • Will Long (Duke University)
  • James Long (Rice University)
  • Katelyn Flint (Duke University)
  • Matthew Huber (Duke University)

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