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Vortex-encoded full-waveform inversion-based ultrasound computed tomography.

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A new vortex encoding strategy for full-waveform inversion (FWI) significantly reduces computational load for musculoskeletal ultrasound computed tomography (UCT). This method accelerates imaging while improving image quality and accuracy.

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Acoustics

Background:

  • Musculoskeletal ultrasound imaging presents significant challenges.
  • Full-waveform inversion (FWI) offers high-resolution ultrasound computed tomography (UCT) but is computationally intensive.
  • Large numbers of sources in FWI lead to substantial computational burden.

Purpose of the Study:

  • To develop a source encoding technology to minimize wavefield calculations in musculoskeletal FWI.
  • To introduce a novel vortex encoding strategy for enhanced FWI performance.
  • To accelerate musculoskeletal UCT while maintaining high imaging quality.

Main Methods:

  • A vortex encoding strategy was developed and applied to FWI using a ring-shaped array in the UCT configuration.
  • Orthogonal properties of acoustic vortices were utilized to mitigate crosstalk artifacts.
  • Vortex-encoded full-waveform inversion (VE-FWI) was compared to conventional FWI and other encoding strategies.

Main Results:

  • VE-FWI reduced the computation load by an order of magnitude compared to conventional FWI.
  • Image quality was enhanced, showing a 2.9% increase in peak signal-to-noise ratio.
  • Structure similarity index measure increased by 4.7% compared to traditional encoding strategies.

Conclusions:

  • Vortex encoding significantly accelerates musculoskeletal UCT.
  • VE-FWI maintains high imaging quality, offering accuracy and computational efficiency.
  • This technique presents a promising solution for practical musculoskeletal imaging applications.