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Speeding up 3D SAFT for ultrasonic NDT by sparse deconvolution

: Kirchhof, Jan; Krieg, Fabian; Römer, Florian; Ihlow, Alexander; Osman, Ahmad; Galdo, Giovanni del


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Ultrasonics Symposium, IUS 2016 : September 18-21, 2016, Tours, France
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-9897-8
ISBN: 978-1-4673-9898-5
4 S.
International Ultrasonics Symposium (IUS) <2016, Tours>
Fraunhofer IZFP ()
Fraunhofer IIS ()
compressed sensing

In this paper we propose to pre-process ultrasonic measurements (A-scans) in Non-Destructive Testing (NDT) by sparse deconvolution before post-processing the data with the Synthetic Aperture Focusing Technique (SAFT). Compared to state-of-the-art SAFT post-processing of raw A-scan measurements, pre-processing by sparse deconvolution can improve NDT in the following ways: First, the temporal resolution of signal reflections is increased. Second, because the A-scans appear as a sparse signal of spikes, it is possible to formulate the time-domain SAFT algorithm in a new fashion that is both faster compared to conventional SAFT and the deconvolved input data can be focussed better leading to a higher resolution. Since sparse deconvolution could be implemented directly into the ultrasonic probe hardware/software measurement setup, this approach can significantly speed up measurements in time-critical environments. We test the proposed scheme on CIVA simulation data as well as measurements and show B- and C-images of raw SAFT vs. Orthogonal Matching Pursuit (OMP) + SAFT and Basis Pursuit Denoising (BPDN) + SAFT.