Ultrasound nondestructive evaluation (NDE) imaging with transducer arrays and adaptive processing

M. H. Li, G. Hayward

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)
90 Downloads (Pure)


This paper addresses the challenging problem of ultrasonic non-destructive evaluation (NDE) imaging with adaptive transducer arrays. In NDE applications, most materials like concrete, stainless steel and carbon-reinforced composites used extensively in industries and civil engineering exhibit heterogeneous internal structure. When inspected using ultrasound, the signals from defects are significantly corrupted by the echoes form randomly distributed scatterers, even defects that are much larger than these random reflectors are difficult to detect with the conventional delay-and-sum operation. We propose to apply adaptive beamforming to the received data samples to reduce the interference and clutter noise. Beamforming is to manipulate the array beam pattern by appropriately weighting the per-element delayed data samples prior to summing them. The adaptive weights are computed from the statistical analysis of the data samples. This delay-weight-and-sum process can be explained as applying a lateral spatial filter to the signals across the probe aperture. Simulations show that the clutter noise is reduced by more than 30 dB and the lateral resolution is enhanced simultaneously when adaptive beamforming is applied. In experiments inspecting a steel block with side-drilled holes, good quantitative agreement with simulation results is demonstrated
Original languageEnglish
Pages (from-to)42-54
Number of pages13
Issue number1
Early online date22 Dec 2011
Publication statusPublished - Jan 2012


  • transducer array
  • adaptive beamforming
  • ultrasound imaging
  • constrained least-squares
  • reduction
  • optimal apodization design
  • non-destructive evaluation (NDE)
  • ultrasound nondestructive evaluation
  • NDE
  • imaging


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