Optimal extraction of ultrasonic scattering features in coarse grained materials

Eduardo R Lopez Villaverde*, Anthony J Croxford, Alexander Velichko

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)
145 Downloads (Pure)


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
Article number9328352
Pages (from-to)2238-2250
Number of pages13
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Issue number6
Early online date18 Jan 2021
Publication statusPublished - Jun 2021

Bibliographical note

Funding Information:
Manuscript received June 24, 2020; accepted January 14, 2021. Date of publication January 18, 2021; date of current version May 25, 2021. This work was supported through the UK Research Centre in NDE (RCNDE) funded by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/L022125/1. (Corresponding author: Eduardo Lopez Villaverde.) The authors are with the Department of Mechanical Engineering, University of Bristol, Bristol BS8 1TR, U.K. (e-mail: eduardo.lopezvillaverde. . istol.ac.uk). Digital Object Identifier 10.1109/TUFFC.2021.3052475

Publisher Copyright:
© 1986-2012 IEEE.


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


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