2014
DOI: 10.1063/1.4865067
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Implementation of a GPU accelerated total focusing reconstruction method within CIVA software

Abstract: Abstract. This paper presents results of a TFM implementation for Full Matrix Capture acquisitions in CIVA, proposed as a post-processing tool for accurate analysis. This implementation has been made on GPU architecture with OpenCL to minimize the processing time and offer computational device flexibility (GPU/CPU). Examples on immersion configurations on isotropic 2D CAD specimen with planar extrusion are proposed to illustrate the performances. Reconstructions on 2D or 3D areas of direct echoes with mode con… Show more

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Cited by 11 publications
(6 citation statements)
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“…The measurement range is expected to be increased with a larger sensor array to improve the imaging resolution as mentioned in Section 3.3, and therefore the feasibility of echo-PIV using DW-DAS for long-range and wide-view measurements was indicated. Furthermore, real-time measurements can be realized with the proposed method by speeding up the imaging [9] and PIV processing [10] steps for practical use.…”
Section: Resultsmentioning
confidence: 99%
“…The measurement range is expected to be increased with a larger sensor array to improve the imaging resolution as mentioned in Section 3.3, and therefore the feasibility of echo-PIV using DW-DAS for long-range and wide-view measurements was indicated. Furthermore, real-time measurements can be realized with the proposed method by speeding up the imaging [9] and PIV processing [10] steps for practical use.…”
Section: Resultsmentioning
confidence: 99%
“…The time does not change for other array sensors and can be shortened by optimizing the transmit interval in accordance with the target velocity. The total data processing time can be shortened by applying ideas from [12] and [13]. Consequently, the technique can potentially achieve a real-time or nearly real-time measurement.…”
Section: Resultsmentioning
confidence: 99%
“…Increasing the speed of TFM imaging is therefore a hot research topic in non-destructive testing. For this purpose, computationally efficient post-processing algorithms can be applied [ 5 , 6 ], and computations within post-processing algorithms could be transferred to field-programmable gate arrays [ 7 , 8 ] or graphics processing units [ 9 , 10 ]. Another approach to increase the speed of TFM imaging is to use sparse arrays [ 11 ] when a limited number of elements are used to transmit ultrasonic waves and receive the reflected signals.…”
Section: Introductionmentioning
confidence: 99%