scholarly journals Research on frequency domain synthetic aperture focusing pipeline guided wave imaging based on phase migration

AIP Advances ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 035314
Author(s):  
Wenwu Deng ◽  
Shengrong Long ◽  
Xuanyu Chen ◽  
Zhinong Li ◽  
Qiufeng Li
Keyword(s):  
Frequency Domain ◽  
Guided Wave ◽  
Synthetic Aperture ◽  
Wave Imaging ◽  
Synthetic Aperture Focusing

scholarly journals Synthetic aperture guided wave imaging using a mobile sensor platform

2012 ◽  
Author(s):  
Gordon Dobie ◽  
Walter Galbraith ◽  
Charles MacLeod ◽  
Rahul Summan ◽  
Gareth Pierce
Keyword(s):  
Guided Wave ◽  
Synthetic Aperture ◽  
Mobile Sensor ◽  
Sensor Platform ◽  
Wave Imaging

The feasibility of synthetic aperture guided wave imaging to a mobile sensor platform

2013 ◽  
Vol 58 ◽  
pp. 10-17 ◽  
Author(s):  
Gordon Dobie ◽  
S. Gareth Pierce ◽  
Gordon Hayward
Keyword(s):  
Guided Wave ◽  
Synthetic Aperture ◽  
Mobile Sensor ◽  
Sensor Platform ◽  
Wave Imaging

scholarly journals Frequency-Domain Synthetic Aperture Focusing Techniques for Imaging with Single-Element Focused Transducers

2021 ◽  
Author(s):  
Elyas Shaswary
Keyword(s):  
Image Reconstruction ◽  
Image Quality ◽  
Frequency Domain ◽  
Spatial Resolution ◽  
Imaging System ◽  
Synthetic Aperture ◽  
Single Element ◽  
Diffraction Effect ◽  
Sidelobe Level ◽  
Synthetic Aperture Focusing

Synthetic aperture focusing techniques (SAFT) make the lateral spatial resolution of the conventional ultrasound imaging from a single-element focused transducer more uniform. In this work, two new frequency-domain SAFT (FD-SAFT) algorithms are proposed, which are based on 2D matched filtering techniques. The first algorithm is the FD-SAFT virtual disk source (FD-VDS) that treats the focus of a focused transducer as a finite sized virtual source and the diffraction effect in the far-field is accounted for in the image reconstruction. The second algorithm is the FD-SAFT deconvolution (FD-DC) that uses the simulated point spread function of the imaging system as a matched filter kernel in the image reconstruction. These algorithms were implemented for pulsed and linear frequency modulated chirp excitations. The performance of these algorithms was studied using a series of simulations and experiments, and it was compared with the conventional B-mode and time-domain virtual point source SAFT (TD-VPS) imaging techniques. The image quality was analyzed in terms of spatial resolution, sidelobe level, signal-to-noise ratio (SNR), contrast resolution, contrast-to- speckle ratio, and ex vivo tissue image quality. The results showed that the FD-VDS had the highest spatial resolution and FD-DC had the second highest spatial resolution. In addition, FD-DC had generally the highest SNR. The computation run time of the proposed methods was significantly lower than the TD-VPS. Furthermore, chirp excitation improves the SNR of all methods by about 8 dB without significantly affecting the spatial resolution and sidelobe level. Thus, the FD-VDS and FD-DC methods offer efficient solutions to make the spatial resolution of conventional B-mode imaging more uniform.

The Frequency-Domain Algorithm for Ultrasonic Imaging of Complex-Shaped Objects

2018 ◽  
Vol 769 ◽  
pp. 262-268
Author(s):  
Dmitry Dolmatov ◽  
Dmitriy A. Sednev ◽  
Roman Pinchuk
Keyword(s):  
Frequency Domain ◽  
Ultrasonic Imaging ◽  
Ultrasonic Waves ◽  
Synthetic Aperture ◽  
The Novel ◽  
Suggested Technique ◽  
Waves Propagation ◽  
Synthetic Aperture Focusing ◽  
Synthetic Aperture Focusing Technique

The algorithms based on Synthetic Aperture Focusing Technique are aimed at the determination of the imageries of the flaws in controlled objects. Ultrasonic imaging of complex-shaped objects requires specific algorithms which are able to take into account the complicated character of ultrasonic waves propagation. In this article, we suggested the novel frequency-domain algorithm for ultrasonic imaging of complex-shaped objects. This algorithm is based on Phase –shift migration theory and Stolt transform. The evaluation of suggested technique was done by the application of raw ultrasonic data which was obtained by using computer simulations. Derived results show that proposed algorithm is able to make accurate and precise imaging of flaws in complex-shaped objects.

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