Double-Stage Delay Multiply and Sum Beamforming Algorithm Applied to Ultrasound Medical Imaging

Mozaffarzadeh, Moein; Sadeghi, Masume; Mahloojifar, Ali; Orooji, Mahdi

doi:10.1016/j.ultrasmedbio.2017.10.020

Cited by 74 publications

(48 citation statements)

References 18 publications

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“…The SA method is implemented for ultrasound imaging. 7,8 We used the delay-and-sum (DAS) technique to reconstruct the SA images. 9,10 Using an N-element array, for each point in an image, the A-scan signals can be expressed as (1):…”

Section: Methodsmentioning

confidence: 99%

An image registration-based technique for noninvasive vascular elastography

Valizadeh¹,

Makkiabadi²,

Mirbagheri³

et al. 2018

Photons Plus Ultrasound: Imaging and Sensing 2018

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Non-invasive vascular elastography is an emerging technique in vascular tissue imaging. During the past decades, several techniques have been suggested to estimate the tissue elasticity by measuring the displacement of the Carotid vessel wall. Cross correlation-based methods are the most prevalent approaches to measure the strain exerted in the wall vessel by the blood pressure. In the case of a low pressure, the displacement is too small to be apparent in ultrasound imaging, especially in the regions far from the center of the vessel, causing a high error of displacement measurement. On the other hand, increasing the compression leads to a relatively large displacement in the regions near the center, which reduces the performance of the cross correlation-based methods. In this study, a non-rigid image registration-based technique is proposed to measure the tissue displacement for a relatively large compression. The results show that the error of the displacement measurement obtained by the proposed method is reduced by increasing the amount of compression while the error of the cross correlationbased method rises for a relatively large compression. We also used the synthetic aperture imaging method, benefiting the directivity diagram, to improve the image quality, especially in the superficial regions. The best relative root-mean-square error (RMSE) of the proposed method and the adaptive cross correlation method were 4.5% and 6%, respectively. Consequently, the proposed algorithm outperforms the conventional method and reduces the relative RMSE by 25%.

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Section: Methodsmentioning

confidence: 99%

An image registration-based technique for noninvasive vascular elastography

Valizadeh¹,

Makkiabadi²,

Mirbagheri³

et al. 2018

Photons Plus Ultrasound: Imaging and Sensing 2018

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“…However, B-mode techniques aim at imaging the magnitude of the backscattered echoes, whereas SLSC attempts to calculate their spatial coherence. The authors in [19]- [25] presented a non-linear beamformer called FDMAS that is based on computing the auto-correlation of the RF signals. This approach leads to improved resolution and contrast at the expense of high computational load, resulting in slow runtime.…”

Section: A Related Workmentioning

confidence: 99%

Sparse Convolutional Beamforming for Ultrasound Imaging

Cohen

Eldar

2018

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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The standard technique used by commercial medical ultrasound systems to form B-mode images is delay and sum (DAS) beamforming. However, DAS often results in limited image resolution and contrast, which are governed by the center frequency and the aperture size of the ultrasound transducer. A large number of elements leads to improved resolution but at the same time increases the data size and the system cost due to the receive electronics required for each element. Therefore, reducing the number of receiving channels while producing high quality images is of great importance. In this paper, we introduce a nonlinear beamformer called COnvolutional Beamforming Algorithm (COBA), which achieves significant improvement of lateral resolution and contrast. In addition, it can be implemented efficiently using the fast Fourier transform. Based on the COBA concept, we next present two sparse beamformers with closed form expressions for the sensor locations, which result in the same beam pattern as DAS and COBA while using far fewer array elements. Optimization of the number of elements shows that they require a minimal number of elements which is on the order of the square root of the number used by DAS. The performance of the proposed methods is tested and validated using simulated data, phantom scans and in vivo cardiac data. The results demonstrate that COBA outperforms DAS in terms of resolution and contrast and that the suggested beamformers offer a sizable element reduction while generating images with an equivalent or improved quality in comparison to DAS.Index Terms-Medical ultrasound, array processing, beamforming, contrast resolution, sparse arrays, beam pattern.

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“…37 Double stage (DS-DMAS), in which two stages of DMAS is used in order to achieve a higher contrast and resolution compared to DMAS, was proposed for linear-array US and PAI. [38][39][40] In addition, a modified version of coherence factor (MCF) and a high resolution CF were used to provide a higher contrast and resolution in linear-array PAI, respectively, compared to conventional CF. 41,42 In this paper, a novel beamforming algorithm, namely Minimum Variance-Based DMAS (MVB-DMAS), is introduced.…”

Section: Introductionmentioning

confidence: 99%

Linear-array photoacoustic imaging using minimum variance-based delay multiply and sum adaptive beamforming algorithm

et al. 2018

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Abstract. In Photoacoustic imaging (PA), Delay-and-Sum (DAS) beamformer is a common beamforming algorithm having a simple implementation. However, it results in a poor resolution and high sidelobes. To address these challenges, a new algorithm namely Delay-Multiply-and-Sum (DMAS) was introduced having lower sidelobes compared to DAS. To improve the resolution of DMAS, a novel beamformer is introduced using Minimum Variance (MV) adaptive beamforming combined with DMAS, so-called Minimum Variance-Based DMAS (MVB-DMAS). It is shown that expanding the DMAS equation results in multiple terms representing a DAS algebra. It is proposed to use the MV adaptive beamformer instead of the existing DAS. MVB-DMAS is evaluated numerically and experimentally. In particular, at the depth of 45 mm MVB-DMAS results in about 31 dB, 18 dB and 8 dB sidelobes reduction compared to DAS, MV and DMAS, respectively. The quantitative results of the simulations show that MVB-DMAS leads to improvement in full-width-half-maximum about 96 %, 94 % and 45 % and signal-to-noise ratio about 89 %, 15 % and 35 % compared to DAS, DMAS, MV, respectively. In particular, at the depth of 33 mm of the experimental images, MVB-DMAS results in about 20 dB sidelobes reduction in comparison with other beamformers.

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Double-Stage Delay Multiply and Sum Beamforming Algorithm Applied to Ultrasound Medical Imaging

Cited by 74 publications

References 18 publications

An image registration-based technique for noninvasive vascular elastography

An image registration-based technique for noninvasive vascular elastography

Sparse Convolutional Beamforming for Ultrasound Imaging

Linear-array photoacoustic imaging using minimum variance-based delay multiply and sum adaptive beamforming algorithm

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