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Sensors 2015, 15(4), 9324-9343; doi:10.3390/s150409324

A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing

Graduate School on Electrical Engineering and Applied Computer Science, Federal University of Technology—Paraná (UTFPR), Curitiba-PR 80230-901, Brazil
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 18 March 2015 / Revised: 15 April 2015 / Accepted: 16 April 2015 / Published: 21 April 2015
(This article belongs to the Section Physical Sensors)
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Abstract

Ultrasound imaging systems (UIS) are essential tools in nondestructive testing (NDT). In general, the quality of images depends on two factors: system hardware features and image reconstruction algorithms. This paper presents a new image reconstruction algorithm for ultrasonic NDT. The algorithm reconstructs images from A-scan signals acquired by an ultrasonic imaging system with a monostatic transducer in pulse-echo configuration. It is based on regularized least squares using a l1 regularization norm. The method is tested to reconstruct an image of a point-like reflector, using both simulated and real data. The resolution of reconstructed image is compared with four traditional ultrasonic imaging reconstruction algorithms: B-scan, SAFT, !-k SAFT and regularized least squares (RLS). The method demonstrates significant resolution improvement when compared with B-scan—about 91% using real data. The proposed scheme also outperforms traditional algorithms in terms of signal-to-noise ratio (SNR). View Full-Text
Keywords: ultrasonic imaging; image reconstruction; sparse reconstruction; nonquadratic regularization; nondestructive testing ultrasonic imaging; image reconstruction; sparse reconstruction; nonquadratic regularization; nondestructive testing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Guarneri, G.A.; Pipa, D.R.; Junior, F.N.; de Arruda, L.V.R.; Zibetti, M.V.W. A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing. Sensors 2015, 15, 9324-9343.

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