Autocorrelation-based generalized coherence factor for low-complexity adaptive beamforming

Shen, Che Chou; Xing, Yong Qi; Jeng, Gency

doi:10.1016/j.ultras.2016.07.015

Cited by 18 publications

(2 citation statements)

References 22 publications

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“…Moreover, AFB-based GCF is estimated using Fourier transform from the delayed acoustic-field channel-based data for every imaging point which results in large computational complexity. To address this issue of GCF computational complexity, an autocorrelationbased GCF method has been proposed to estimate the GCF value [44]. The estimation of the GCF value from real signals is also proposed to lower computational complexity [45].…”

Section: Discussionmentioning

confidence: 99%

Acoustic-Field Beamforming-Based Generalized Coherence Factor for Handheld Ultrasound

Cheng

et al. 2022

Applied Sciences

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Handheld ultrasound devices have been widely used for diagnostic applications. The use of the acoustic-field beamforming (AFB) method has been proposed for handheld ultrasound to reduce electricity consumption and avoid battery and unwanted heat issues. However, the image quality, such as the contrast ratio and contrast-to-noise-ratio, are poorer with this technique than with the conventional delay-and-sum method. To address the problems associated with the worse image quality in AFB imaging, in this paper we propose the use of an AFB-based generalized coherence factor (GCF) technique, in which the GCF weighting developed for adaptive beamforming is extended to AFB. Simulation data, experimental results, and in vivo testing verified the efficacy of our proposed AFB-based GCF technique.

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Section: Discussionmentioning

confidence: 99%

Acoustic-Field Beamforming-Based Generalized Coherence Factor for Handheld Ultrasound

Cheng

et al. 2022

Applied Sciences

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“…Currently, many researchers are developing techniques for improving the ultrasound image resolution based on array transducers [ 18 , 19 , 20 , 21 , 22 ]. The minimum variance beamformer method on the received echo has been proposed to an array system enabling the improvement of image resolution by using adaptive weight [ 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluating a 3D Ultrasound Imaging Resolution of Single Transmitter/Receiver with Coding Mask by Extracting Phase Information

Syaryadhi,

Nakazawa,

Tagawa

et al. 2024

Sensors

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We are currently investigating the ultrasound imaging of a sensor that consists of a randomized encoding mask attached to a single lead zirconate titanate (PZT) oscillator for a puncture microscope application. The proposed model was conducted using a finite element method (FEM) simulator. To increase the number of measurements required by a single element system that affects its resolution, the transducer was rotated at different angles. The image was constructed by solving a linear equation of the image model resulting in a poor quality. In a previous work, the phase information was extracted from the echo signal to improve the image quality. This study proposes a strategy by integrating the weighted frequency subbands compound and a super-resolution technique to enhance the resolution in range and lateral direction. The image performance with different methods was also evaluated using the experimental data. The results indicate that better image resolution and speckle suppression were obtained by applying the proposed method.

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Generalized coherence factor estimated from real signals in ultrasound beamforming

et al. 2020

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Autocorrelation-based generalized coherence factor for low-complexity adaptive beamforming

Cited by 18 publications

References 22 publications

Acoustic-Field Beamforming-Based Generalized Coherence Factor for Handheld Ultrasound

Acoustic-Field Beamforming-Based Generalized Coherence Factor for Handheld Ultrasound

Evaluating a 3D Ultrasound Imaging Resolution of Single Transmitter/Receiver with Coding Mask by Extracting Phase Information

Generalized coherence factor estimated from real signals in ultrasound beamforming

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