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Frequency-differencing strategy to kickstart full-waveform inversion without cycle skipping. | LitMetric

AI Article Synopsis

  • Ultrasound tomography needs low-frequency data to ensure accurate imaging and prevent errors in full-waveform inversion (FWI)
  • The method can generate low-frequency data from high-frequency signals using frequency-difference beamforming
  • Simulations and experiments show significant improvements in image quality and clarity of internal structures due to this technique.

Article Abstract

Ultrasound tomography fundamentally relies on low-frequency data to avoid cycle skipping in full-waveform inversion (FWI). In the absence of sufficiently low-frequency data, we can extrapolate low-frequency content from existing high-frequency signals by using the same approach used in frequency-difference beamforming. This low-frequency content is then used to kickstart FWI and avoid cycle skipping at higher frequencies. In simulations, the structural similarity index measure and peak signal-to-noise ratio of the reconstructed image improve by 0.28 and 8.6 dB, respectively, as a result of frequency differencing. Experiments show that internal structures can be seen with greater clarity because of frequency differencing.

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Source
http://dx.doi.org/10.1121/10.0034763DOI Listing

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