Data set reduction for ultrasonic TFM imaging using the effective aperture approach and virtual sources

Bannouf, Souad; Robert, Sébastien; Casula, O.; Prada, Claire

doi:10.1088/1742-6596/457/1/012007

Cited by 27 publications

(16 citation statements)

References 9 publications

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“…The second drawback is the framerate limit due to the number of transmissions (N) and the storage and processing of the N Â N signals. Techniques exist to reduce the number of signals to be processed, like the Sparse Matrix Capture (SMC) that uses a few elements in transmission, compensating the loss of acoustic power by creating virtual sources [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Plane Wave Imaging for ultrasonic non-destructive testing: Generalization to multimodal imaging

et al. 2016

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This paper describes a new ultrasonic array imaging method for Non-Destructive Testing (NDT) which is derived from the medical Plane Wave Imaging (PWI) technique. The objective is to perform fast ultrasound imaging with high image quality. The approach is to transmit plane waves at several angles and to record the back-scattered signals with all the array elements. Focusing in receive is then achieved by coherent summations of the signals in every point of a region of interest. The medical PWI is generalized to immersion setups where water acts as a coupling medium and to multimodal (direct, half-skip modes) imaging in order to detect different types of defects (inclusions, porosities, cracks). This method is compared to the Total Focusing Method (TFM) which is the reference imaging technique in NDT. First, the two post-processing algorithms are described. Then experimental results with the array probe either in contact or in immersion are presented. A good agreement between the TFM and the PWI is observed, with three to ten times less transmissions required for the PWI.

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Section: Introductionmentioning

confidence: 99%

Plane Wave Imaging for ultrasonic non-destructive testing: Generalization to multimodal imaging

et al. 2016

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“…and m is the number of elements in the real phased array that constitutes the v-th virtual source. When 7 m  , the synthesized sound field of the real array is closest to the sound field of single virtual source [20]. ( ′ ) is the virtual source signal obtained by adding a delay vs  to the echo…”

Section: Theory a Virtual Source Sparse Tfmmentioning

confidence: 99%

Ultrasonic Phased Array Sparse TFM Imaging Based on Virtual Source and Phase Coherent Weighting

2020

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Total focus method (TFM) is an ultrasonic phased array imaging method and has a larger dynamic focusing range and higher spatial resolution than traditional imaging methods. But TFM needs to process a large amount of data, resulting in a long imaging time, which greatly limits its application and development in the industrial field. The sparse method can improve the computing efficiency by reducing the amount of data, but the resolution and intensity of sparse image are very low. This paper proposes a virtual source sparse TFM (VSSTFM) method based on phase coherent weighting (PCW) to improve the spatial resolution and intensity of the sparse TFM imaging. The layout of virtual sources in the virtual source array is designed and optimized by genetic algorithm. According to the phase distribution characteristics of the ultrasonic testing signal, a phase coherence factor is constructed to weight the VSSTFM image to further improve the image quality. Experimental results show that compared with conventional TFM, the proposed method can improve the imaging efficiency by 66.56 % while providing significantly higher image quality than TFM imaging.

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“…In order to improve the efficiency of full-focus imaging, H R Jin introduced a wavenumber algorithm for the multi-layered medium imaging [11]. S Bannouf proposed an algorithm based on point spread function to enhance the efficiency [12]. H w Hu used sparse matrix for two-layer medium to simplify the total focusing imaging algorithm [13].…”

Section: Introductionmentioning

confidence: 99%

Simplified Matrix Focusing Imaging Algorithm for Ultrasonic Nondestructive Testing

Zhao

Zhang

2021

Preprint

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Full matrix focusing method has been proved with the advantages of good signal-to-noise ratio and high-resolution image. However, it is still suffering from the problems of the time-consuming data acquisition and processing. In order to solve the problem, two kind simplified matrix focusing methods are provided in this paper. One is a triangular matrix focusing algorithm based on the principle of reciprocity for the multi-channel ultrasonic system. The other is a trapezoidal matrix focusing algorithm based on the energy weight of the different channel to the imaging area. In order to prove the validity of the provided algorithms, both side-drilled hole and oblique crack defects are used for the imaging comparation. The results show that the imaging quality of the triangular matrix focusing algorithm is basically consistent to that of the full matrix focusing method, and the imaging quality of the trapezoidal matrix focusing algorithm can be slightly reduced as the amount of multi-channel data decreases. In addition, both data acquisition and computational efficiency using the provided algorithms have been improved significantly.

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Data set reduction for ultrasonic TFM imaging using the effective aperture approach and virtual sources

Cited by 27 publications

References 9 publications

Plane Wave Imaging for ultrasonic non-destructive testing: Generalization to multimodal imaging

Plane Wave Imaging for ultrasonic non-destructive testing: Generalization to multimodal imaging

Ultrasonic Phased Array Sparse TFM Imaging Based on Virtual Source and Phase Coherent Weighting

Simplified Matrix Focusing Imaging Algorithm for Ultrasonic Nondestructive Testing

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