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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Synthetic transmit beam technique in an aberrating environment.

Tore Bjåstad1, Svein A Aase, Hans Torp

  • 1Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway. tore.bjastad@ntnu.no

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|July 4, 2009
PubMed
Summary

Synthetic transmit beam (STB) technique significantly improves ultrasound image quality by reducing artifacts caused by parallel beamforming, especially in aberrating environments. This method enhances lateral shift invariance and speckle tracking for clearer B-mode images.

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Area of Science:

  • Medical Imaging
  • Ultrasound Technology
  • Signal Processing

Background:

  • Parallel beamforming increases ultrasound frame rates but introduces blocklike artifacts.
  • Synthetic transmit beam (STB) technique is a proposed compensation method for these artifacts.

Purpose of the Study:

  • To evaluate the performance of STB in an aberrating environment using 4 parallel beams.
  • To investigate STB's impact on image quality metrics including lateral shift invariance, beam-to-beam correlation, and speckle tracking.

Main Methods:

  • Simulations, in vivo, and in vitro measurements were used to assess STB performance.
  • Quantitative and qualitative analyses included lateral shift invariance, beam-to-beam correlation, speckle tracking, and beam profile shape preservation.

Main Results:

  • Aberration amplified artifacts in regular parallel beamforming, increasing shift variance and speckle tracking error.
  • STB significantly improved image quality, reducing beam-to-beam correlation variation from 30% to 1% and speckle tracking error standard deviation from 8% to 1.5%.

Conclusions:

  • STB effectively compensates for artifacts in parallel beamforming, particularly in aberrating conditions.
  • The improvements offered by STB are most pronounced in the presence of aberrations, leading to superior image quality.