A high-resolution minimum variance algorithm based on optimal frequency-domain segmentation

Wang, Ping; Li, Xitao; Du, Tao; Wang, Lınhong; Liu, Xuegong

doi:10.1016/j.bspc.2021.102540

Cited by 7 publications

(4 citation statements)

References 22 publications

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“…where Ã denotes the convolution. According to (13), the two-way beampattern of a transmitting-receiving pair (m,n) is a function of m + n. As the beampattern can be considered as spatial impulse response, (13) results that the signal received by the n-th element when the m-th element transmits is equal to the signal obtained by any transmitting-receiving pair of (m 0 , n 0 ) where m 0 + n 0 = m + n. This is valid for the reflectors positioned at far-field region of the transducer, and according to the Fresnel approximation, it is also true for the focal region of a focused transducer. This means that the data matrix S(k) is approximately a Hankel matrix, where the deviations from the Hankel structure are mostly the results of the signals reflected by the points far from the focal points and their effects is usually attenuated by a simple beamformer such as DAS.…”

Section: The Proposed Beamformermentioning

confidence: 99%

“…Imagine that the first element of the virtual array is transmitting and all its elements are receiving. According to (13), the signal received by the i-th element of the virtual array si k ð Þ is approximately the same as the signal acquired by the pair (m,n) on the real array for any m and n satisfying m + n À 1 = i. Therefore, si k ð Þ can be approximated using the matrix S(k) as follows:…”

Section: The Proposed Beamformermentioning

confidence: 99%

“…9 In recent years, minimum variance (MV) adaptive beamformers have widely been studied and demonstrated a valuable improvement in the resolution and the contrast of the ultrasound imaging. [10][11][12][13][14] It has been shown that the MV beamformer by improving the image quality and enhancing the signal-to-noise ratio allows the array length to be reduced, or the penetration depth to be increased. 10 Also, the increased resolution of MV can particularly be helpful in super-resolution imaging techniques.…”

Section: Introductionmentioning

confidence: 99%

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Synthetic Aperture Ultrasound Imaging through Adaptive Integrated Transmitting-Receiving Beamformer

Rostamikhanghahi

Sakhaei

2023

Ultrason Imaging

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Synthetic aperture (SA) technique is very attractive for ultrafast ultrasound imaging, as the entire medium can be insonified by a single emission. It also permits applying the dynamic focusing as well as adaptive beamforming both in transmission and reception, which results in an enhanced image. In this paper, we firstly show that the problem of designing the transmit and receive beamformers in SA structure can be formulated as a problem of designing a one-way beamformer on a virtual array with a lateral response equal to that of the two-way beamformer on SA. It is also demonstrated that the length of the virtual aperture is increased to the sum of the transmit aperture length and the receive one, which can result in an enhanced resolution. Moreover, a better estimation of the covariance matrix can be obtained which can be utilized for applying adaptive minimum variance (MV) beamforming method on the virtual array, and consequently the resolution and contrast properties would be enhanced. The performance of the new method is compared with other existing MV-based methods and is quantified by some metrics such as the full width at half maximum (FWHM) and generalized contrast to noise ratio (GCNR). Our validations on simulations and experimental data have shown that the new method is capable of obtaining higher GCNR values while retaining or decreasing FWHM values almost all the time. Moreover, for the same subarray length for estimating the covariance matrices, the computational burden of the new method is significantly lower than those of the existing rival methods.

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Section: The Proposed Beamformermentioning

confidence: 99%

Section: The Proposed Beamformermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synthetic Aperture Ultrasound Imaging through Adaptive Integrated Transmitting-Receiving Beamformer

Rostamikhanghahi

Sakhaei

2023

Ultrason Imaging

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“…Hasegawa et al [ 11 ] proposed to build a cross-covariance matrix in MV using echo signals from different subarrays, which leads to a significant improvement in image contrast. Recently, Wang et al [ 12 ] proposed a high-resolution MV based on optimal frequency-domain segmentation. In addition, a user parameter-free MV was developed [ 13 ] by adaptively determining the subarray length, number of samples for temporal averaging, and diagonal loading coefficient in MV.…”

Section: Introductionmentioning

confidence: 99%

Minimum variance beamforming combined with covariance matrix-based adaptive weighting for medical ultrasound imaging

Wang

Liu

et al. 2022

BioMed Eng OnLine

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Background The minimum variance (MV) beamformer can significantly improve the image resolution in ultrasound imaging, but it has limited performance in noise reduction. We recently proposed the covariance matrix-based statistical beamforming (CMSB) for medical ultrasound imaging to reduce sidelobes and incoherent clutter. Methods In this paper, we aim to improve the imaging performance of the MV beamformer by introducing a new pixel-based adaptive weighting approach based on CMSB, which is named as covariance matrix-based adaptive weighting (CMSAW). The proposed CMSAW estimates the mean-to-standard-deviation ratio (MSR) of a modified covariance matrix reconstructed by adaptive spatial smoothing, rotary averaging, and diagonal reducing. Moreover, adaptive diagonal reducing based on the aperture coherence is introduced in CMSAW to enhance the performance in speckle preservation. Results The proposed CMSAW-weighted MV (CMSAW-MV) was validated through simulation, phantom experiments, and in vivo studies. The phantom experimental results show that CMSAW-MV obtains resolution improvement of 21.3% and simultaneously achieves average improvements of 96.4% and 71.8% in average contrast and generalized contrast-to-noise ratio (gCNR) for anechoic cyst, respectively, compared with MV. in vivo studies indicate that CMSAW-MV improves the noise reduction performance of MV beamformer. Conclusion Simulation, experimental, and in vivo results all show that CMSAW-MV can improve resolution and suppress sidelobes and incoherent clutter and noise. These results demonstrate the effectiveness of CMSAW in improving the imaging performance of MV beamformer. Moreover, the proposed CMSAW with a computational complexity of $$O(N^2)$$ O ( N 2 ) has the potential to be implemented in real time using the graphics processing unit.

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A Survey of Target Orientation Detection Algorithms Based on GPU Parallel Computing

Wang,

Wu,

Tian

2023

Smart Innovation, Systems and Technologies

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A high-resolution minimum variance algorithm based on optimal frequency-domain segmentation

Cited by 7 publications

References 22 publications

Synthetic Aperture Ultrasound Imaging through Adaptive Integrated Transmitting-Receiving Beamformer

Synthetic Aperture Ultrasound Imaging through Adaptive Integrated Transmitting-Receiving Beamformer

Minimum variance beamforming combined with covariance matrix-based adaptive weighting for medical ultrasound imaging

A Survey of Target Orientation Detection Algorithms Based on GPU Parallel Computing

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