Computational complexity reduction techniques for real-time and high-resolution medical ultrasound imaging using the beam-space Capon method

2016 ◽  
Vol 55 (7S1) ◽  
pp. 07KF07
Author(s):  
Shigeaki Okumura ◽  
Hirofumi Taki ◽  
Toru Sato
Keyword(s):  
Computational Complexity ◽  
High Resolution ◽  
Real Time ◽  
Ultrasound Imaging ◽  
Complexity Reduction ◽  
Medical Ultrasound ◽  
Medical Ultrasound Imaging ◽  
Reduction Techniques

Speckle reduction techniques in medical ultrasound imaging

2014 ◽  
Vol 4 (1) ◽  
pp. 32-40 ◽  
Author(s):  
Jihoon Park ◽  
Jin Bum Kang ◽  
Jin Ho Chang ◽  
Yangmo Yoo
Keyword(s):  
Ultrasound Imaging ◽  
Speckle Reduction ◽  
Medical Ultrasound ◽  
Medical Ultrasound Imaging ◽  
Reduction Techniques

scholarly journals Lag-Based Filtered-Delay Multiply and Sum Beamformer Combined with Two Phase-Related Factors for Medical Ultrasound Imaging

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Ke Song ◽  
Paul Liu ◽  
Dong C. Liu
Keyword(s):  
Computational Complexity ◽  
Ultrasound Imaging ◽  
Spatial Coherence ◽  
Medical Ultrasound ◽  
Two Phase ◽  
Related Factors ◽  
Medical Ultrasound Imaging ◽  
The Relationship ◽  
Image Details ◽  
Beamforming Algorithm

A novel adaptive beamformer named filtered-delay multiply and sum (F-DMAS) has recently been proposed. Compared to the delay and sum (DAS) beamforming algorithm, F-DMAS can efficiently improve the resolution and contrast. However, the DAS can still be seen in the expansion of DMAS. Therefore, we rearrange the pair-wised signals in terms of lag in DMAS and then synthesize a lot of new signals. Thanks to the relationship between the spatial coherence and lag, these new signals can be thought of as sorted by the spatial coherence. Thus, we apply two phase-related factors, the polarity-based factor (PF) and the sign coherence factor (SCF), which are evaluated based on new signals, to weight the output of DMAS. The two approaches are consequently referred to as LAG-DMAS-PF and LAG-DMAS-SCF, respectively. The results show that, compared to F-DMAS and DAS, our proposed methods can improve the resolution and contrast to some extent without increasing too much computational complexity. In the comparison between LAG-DMAS-PF and LAG-DMAS-SCF, the latter has better performance, but the former can better protect image details.

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