Joint Subarray Coherence and Minimum Variance Beamformer for Multitransmission Ultrasound Imaging Modalities

2018 ◽  
Vol 65 (9) ◽  
pp. 1600-1617 ◽  
Author(s):  
Yanxing Qi ◽  
Yuanyuan Wang ◽  
Wei Guo
Keyword(s):  
Ultrasound Imaging ◽  
Minimum Variance ◽  
Imaging Modalities

Biliary papillomatosis and new ultrasound imaging modalities

2012 ◽  
Vol 25 (01) ◽  
Author(s):  
XW Cui ◽  
A Ignee ◽  
B Braden ◽  
M Woenckhaus ◽  
CF Dietrich
Keyword(s):  
Ultrasound Imaging ◽  
Imaging Modalities ◽  
Biliary Papillomatosis

Low Complex Beam-Space Beamformer for Medical Ultrasound Imaging Based on Delay Multiply and Sum Method

2019 ◽  
Vol 9 (8) ◽  
pp. 1630-1638
Author(s):  
Ting Su ◽  
Shi Zhang ◽  
Dayu Li ◽  
Zhiwei Lv ◽  
Shengwei Dong
Keyword(s):  
Computational Complexity ◽  
Ultrasound Imaging ◽  
Contrast Ratio ◽  
Weight Vector ◽  
Minimum Variance ◽  
Medical Ultrasound Imaging ◽  
Adaptive Weight ◽  
Final Output ◽  
Simulation And Experiment ◽  
Low Complex

The beam-space minimum variance (BSMV) beamforming is an outstanding form of beam-space beamforming. However, its computational complexity is still high for real-time ultrasound imaging. To solve this problem, a beamforming named beam-space delay multiply and sum (BS-DMAS) beamforming was proposed in this paper. In the proposed method, similar decimation discrete cosine transform (DCT) matrix in BSMV was used to reduce the dimension of signal firstly. Then, the improved delay multiply and sum (DMAS) beamforming in parallel form was used to get the final output. Different from BSMV, instead of calculating the inverse of covariance matrix to get the adaptive weight vector, the proposed method just need to perform square root, sign and addition operation. By doing this, the computational complexity was reduced from PM + P3 + 3P2 + O(P) to PM + P2 + O(P) compared with BSMV. Finally, simulation and experiment was performed to evaluate the proposed method. Compared with DAS, the results indicate that BS-DMAS generates a 66% lower advantage at full width at half-maximum (FWHM), an 114% improvement at contrast noise ratio (CR) but slightly worse at contrast ratio (CNR). This demonstrates that the proposed method can improve the performance of imaging and reduce the computational complexity.

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