Generalized coherence factor estimated from real signals in ultrasound beamforming

Hisatsu, Masanori; Mori, Shiro; Arakawa, Mototaka; Kanai, Hiroshi

doi:10.1007/s10396-019-01004-7

Cited by 9 publications

(4 citation statements)

References 19 publications

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“…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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“…Therefore, GCF at M 0 = 0 is equal to CF. At this level, high resolution and low sidelobe levels are achieved at the cost of highly degraded speckle homogeneity and additional heavy BBR artifacts in the image [22]. Increasing M 0 reduces BBR and improves background speckle homogeneity but lowers contrast and resolution.…”

Section: Generalized Coherence Factormentioning

confidence: 99%

Performance Evaluation of Compound Plane-Wave Imaging Combined with the Generalized Coherence Factor

Alomari,

Abdulatef,

Al-Zubaidy

2023

ABE

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Compound plane-wave imaging (CPWI) is a widely used and investigated imaging technique in medical ultrasound because it provides high quality ultrafast imaging for recent applications such as elastography. CPWI can be either coherent to provide high resolution and reduce sidelobe, or incoherent to provide high speckle homogeneity. To further improve imaging quality, coherence-based factors are used for weighting the output of ultrasound beamformers. This work studied the effects of the number of compounded frames and the step between these frames on the imaging quality produced by coherent and incoherent CPWI in the presence of the generalized coherence factor (GCF). The quality of the produced images of two different RF datasets was assessed in two different scenarios, in addition to conducting cyst phantom simulations. Results showed that the amount of image contrast improved by GCF increased, while the amount of resolution improved by GCF decreased, with the increase in step between frames. The same results were obtained in both types of CPWI. On the other hand, increasing the number of frames had almost no effect on the amounts of improvement provided by GCF. When CPWI is used in ultrafast imaging, it is important to monitor frame rates as well as imaging quality; these two factors are, respectively, inversely and directly proportional to the number of compounding frames. Therefore, the results of this research provide guidelines for accurate angle selection for CPWI so that a trade-off between imaging quality and frame rate is achieved.

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“…DAS beamforming degrades image quality due to the phase aberration caused by the non-uniform distribution of sound velocity in vivo. Adaptive beamformers, such as DAS beamformers with a coherence factor [2][3][4] and the minimum variance, 5) have been developed to suppress this image quality degradation.…”

Section: Introductionmentioning

confidence: 99%

Improved robustness of multi-component analysis in amplitude envelope statistics using plane waves

Ujihara

Tamura

MORI

et al. 2023

Jpn. J. Appl. Phys.

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We compared the evaluation accuracy of amplitude envelope statistics under the transmission and reception conditions of compounded plane wave imaging (CPWI) and focused beam imaging (FBI). In a basic study using a homogeneous phantom, we found that the amplitude gradient in the depth direction and the PSF in the lateral direction spread in the FBI reduced the accuracy of evaluation in amplitude envelope statistics. On the other hand, CPWI showed a more stable evaluation than FBI because of the elimination of sound field characteristics. In CPWI, the multi-Rayleigh model discriminated signals from two types of scatterer with high accuracy in the evaluation using phantoms mimicking fatty liver. It was confirmed that the combination of CPWI and the multi-Rayleigh model is effective for detecting early fatty liver disease. The results show that CPWI is effective for improving the robustness of amplitude envelope statistics.

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Generalized coherence factor estimated from real signals in ultrasound beamforming

Cited by 9 publications

References 19 publications

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

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

Performance Evaluation of Compound Plane-Wave Imaging Combined with the Generalized Coherence Factor

Improved robustness of multi-component analysis in amplitude envelope statistics using plane waves

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