Novel spatio-temporal non-linear beamformers for sparse synthetic aperture ultrasound imaging

Vayyeti, Anudeep; Thittai, Arun K.

doi:10.1016/j.ultras.2022.106832

Cited by 8 publications

(2 citation statements)

References 39 publications

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“…The F-DMAS also imposes a high computational load due to the square root and multiplications operations in the image generation [16], but there are some fast implementations proposed in [17,18] to address the issue. The method has been further improved for better performance in subsequent studies, such as double-stage F-DMAS [19], subarray F-DMAS [20], signed DMAS [21,22], baseband DMAS [23], and weighted F-DMAS [24,25].…”

Section: Introductionmentioning

confidence: 99%

Pixel-based approach to delay multiply and sum beamforming in combination with Wiener filter for improving ultrasound image quality

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Pixel-based approach to delay multiply and sum beamforming in combination with Wiener filter for improving ultrasound image quality

et al. 2023

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“…However, we just gave a brief introduction of the concept and did not explain in detail the potential applications and main theory behind the improvement of AR. Several researchers [ 24 , 25 , 26 , 27 , 28 ] also implemented and compared our proposed method, but the results they obtained and presented had several flaws. First, the dynamic range used to present all the B-mode images in their work was 70 dB, which was very high compared to the conventional range of 40 to 60 dB.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Ultrasound B-Mode Image Quality Using Nonlinear Filtered-Multiply-and-Sum Compounding for Improved Carotid Artery Segmentation

et al. 2023

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In ultrasound B-mode imaging, the axial resolution (AR) is commonly determined by the duration or bandwidth of an excitation signal. A shorter-duration pulse will produce better resolution compared to a longer one but with compromised penetration depth. Instead of relying on the pulse duration or bandwidth to improve the AR, an alternative method termed filtered multiply and sum (FMAS) has been introduced in our previous work. For spatial-compounding, FMAS uses the autocorrelation technique as used in filtered-delay multiply and sum (FDMAS), instead of conventional averaging. FMAS enables a higher frame rate and less computational complexity than conventional plane-wave compound imaging beamformed with delay and sum (DAS) and FDMAS. Moreover, it can provide an improved contrast ratio and AR. In previous work, no explanation was given on how FMAS was able to improve the AR. Thus, in this work, we discuss in detail the theory behind the proposed FMAS algorithm and how it is able to improve the spatial resolution mainly in the axial direction. Simulations, experimental phantom measurements and in vivo studies were conducted to benchmark the performance of the proposed method. We also demonstrate how the suggested new algorithm may be used in a practical biomedical imaging application. The balloon snake active contour segmentation technique was applied to the ultrasound B-mode image of a common carotid artery produced with FMAS. The suggested method is capable of reducing the number of iterations for the snake to settle on the region-of-interest contour, accelerating the segmentation process.

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An optimized total focusing method based on delay-multiply-and-sum for nondestructive testing

Teng

Liu²,

Xiang³

et al. 2023

Ultrasonics

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Novel spatio-temporal non-linear beamformers for sparse synthetic aperture ultrasound imaging

Cited by 8 publications

References 39 publications

Pixel-based approach to delay multiply and sum beamforming in combination with Wiener filter for improving ultrasound image quality

Pixel-based approach to delay multiply and sum beamforming in combination with Wiener filter for improving ultrasound image quality

Enhancement of Ultrasound B-Mode Image Quality Using Nonlinear Filtered-Multiply-and-Sum Compounding for Improved Carotid Artery Segmentation

An optimized total focusing method based on delay-multiply-and-sum for nondestructive testing

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