Optimal extraction of ultrasonic scattering features in coarse grained materials

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Abstract

Ultrasonic array imaging is used in non-destructive testing for detection and characterisation of defects. The scattering behaviour of any feature can be described by a matrix of scattering coefficients, called the scattering matrix. This information is used for characterisation, and contrary to image-based analysis, the scattering matrix allows characterisation of defects at the subwavelength scale. However, the defect scattering coefficients are in practice contaminated by other nearby scatterers or significant structural noise. In this context, an optimal procedure to extract scattering features from a selected region of interest in a beamformed image is here investigated. This work proposes two main strategies to isolate a target scatterer in order to recover exclusively the time responses of the desired scatterer. In this paper such strategies are implemented in delay-and-sum and frequency-wavenumber forms, and optimised to maximise the extraction rate. An experimental case in a polycrystalline material shows that the suggested procedures provide a rich frequency spectrum of the scattering matrix and are readily suited to minimise the effects of surrounding scattering noise. In doing so, the ability to deploy imaging methods that rely on the scattering matrix is enabled.
Original languageEnglish
Number of pages14
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Early online date18 Jan 2021
DOIs
Publication statusE-pub ahead of print - 18 Jan 2021

Keywords

  • Ultrasonic imaging
  • scattering matrix
  • defect characterization
  • grain noise

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