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Wavefield-Aware quality control and shear wave speed estimation in ocular Vibro-Elastography.

Ngoc Thang Bui1, Lauren A Dalvin2, Xiaoming Zhang3

  • 1Department of Radiology, Mayo Clinic, Rochester, MN, USA.

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A new wavefield-aware ultrasound vibro-elastography (UVE) framework accurately analyzes shear wave speed in ocular tissues. This method uses dispersion and heterogeneity to differentiate melanoma from nevus lesions, outperforming absolute shear wave speed alone.

Keywords:
Algorithm comparisonMultifrequencyelastographyNevus lesionsOcular melanoma lesionsPhase velocity imagingShear wave speedUltrasoundvibro-elastography

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Ophthalmology

Background:

  • Complex wavefield phenomena in ocular tissues challenge accurate shear wave speed (SWS) analysis.
  • Ultrasound Vibro-Elastography (UVE) is a promising technique for assessing tissue biomechanics.
  • Developing robust UVE methods is crucial for analyzing intraocular lesions.

Purpose of the Study:

  • To investigate wavefield complexity in confined ocular structures.
  • To develop and validate a wavefield-aware framework for UVE analysis.
  • To differentiate intraocular lesions based on biomechanical properties.

Main Methods:

  • Evaluated wavefield-aware UVE using simulations, phantoms, and patient data.
  • Compared spectral k-ω, phase-gradient (DPG/TPI), and local phase velocity imaging with wavefield-based filtering (LPVI-WBF) methods.
  • Implemented wavefield quality control (QC) and multifrequency analysis (100-200 Hz).

Main Results:

  • k-ω and DPG/TPI methods showed sensitivity to wave reflections and interference, yielding unstable SWS estimates.
  • Wavefield-based QC with LPVI-WBF provided stable SWS mapping in intraocular lesion regions.
  • Melanoma lesions exhibited significantly stronger dispersion slopes and higher frequency-domain heterogeneity than nevus lesions.

Conclusions:

  • Wavefield-aware UVE analysis offers sensitive biomarkers for lesion differentiation.
  • Dispersion curve strength and inter-frequency heterogeneity effectively distinguish melanoma from nevus.
  • Absolute SWS alone is insufficient for differentiating these intraocular lesions.