Adaptive beamforming with automatic diagonal loading in medical ultrasound imaging
作者： Ali Salari , Babak Mohammadzadeh Asl
DOI: 10.1109/ICBME.2018.8703502
关键词: Adaptive beamformer 、 Minimum-variance unbiased estimator 、 Mathematics 、 Diagonal 、 Robustness (computer science) 、 Loading factor 、 Medical ultrasound 、 Algorithm 、 Anechoic chamber 、 Ultrasound
摘要: In medical ultrasound imaging, the most famous adaptive beamforming algorithm is minimum variance (MV). Diagonal loading (DL) method usually used to improve robustness of MV. Conventional DL methods have a critical problem which determining factor ignoring input data. To address this problem, in paper, using shrinkage proposed coefficient completely automated and determined by The performance evaluated simulated data Field II. point targets simulation, it has been shown that improves resolution about 87% 20%, compared delay sum (DAS) MV algorithms (with fixed of), respectively. addition, anechoic cyst contrast relative retained, comparison those beamformer, while they are improved 5% 18%, DAS ones,
sci-hub.se 参考文章(8)
Ali Mohades Deylami, Babak Mohammadzadeh Asl, Amplitude and phase estimator combined with the Wiener postfilter for medical ultrasound imaging Journal of Medical Ultrasonics. ,vol. 43, pp. 11- 18 ,(2016) , 10.1007/S10396-015-0671-Z
B. M. Asl, A. Mahloojifar, A low-complexity adaptive beamformer for ultrasound imaging using structured covariance matrix IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. ,vol. 59, pp. 660- 667 ,(2012) , 10.1109/TUFFC.2012.2244
B M Asl, A Mahloojifar, Contrast enhancement and robustness improvement of adaptive ultrasound imaging using forward-backward minimum variance beamforming IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. ,vol. 58, pp. 858- 867 ,(2011) , 10.1109/TUFFC.2011.1880
B.M. Asl, A. Mahloojifar, Minimum variance beamforming combined with adaptive coherence weighting applied to medical ultrasound imaging IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. ,vol. 56, pp. 1923- 1931 ,(2009) , 10.1109/TUFFC.2009.1268
P. Stoica, Jian Li, Xumin Zhu, J.R. Guerci, On Using a priori Knowledge in Space-Time Adaptive Processing IEEE Transactions on Signal Processing. ,vol. 56, pp. 2598- 2602 ,(2008) , 10.1109/TSP.2007.914347
Johan Fredrik Synnevag, Andreas Austeng, Sverre Holm, Adaptive Beamforming Applied to Medical Ultrasound Imaging IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. ,vol. 54, pp. 1606- 1613 ,(2007) , 10.1109/TUFFC.2007.431
Mahsa Sotoodeh Ziksari, Babak Mohammadzadeh Asl, Combined phase screen aberration correction and minimum variance beamforming in medical ultrasound. Ultrasonics. ,vol. 75, pp. 71- 79 ,(2017) , 10.1016/J.ULTRAS.2016.11.015
Ali Mohades Deylami, Babak Mohammadzadeh Asl, A Fast and Robust Beamspace Adaptive Beamformer for Medical Ultrasound Imaging IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. ,vol. 64, pp. 947- 958 ,(2017) , 10.1109/TUFFC.2017.2685525