Adaptive beamforming based on minimum variance (ABF-MV) using deep neural network for ultrafast ultrasound imaging

•Provides a deep neural network guided by minimum variance method for ultrafast ultrasound adaptive beamforming.•Shows that the proposed method’s beneficial effects evaluated by simulations, phantom experiments, and in-vivo experiments.•Reveals that the proposed method has the potential for ultrafas...

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Vydané v:	Ultrasonics Ročník 126; s. 106823
Hlavní autori:	Wang, Wenping, He, Qiong, Zhang, Ziyou, Feng, Ziliang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2022
Predmet:	Adaptive beamforming Deep neural network Low computation complexity Minimum variance beamforming Ultrafast ultrasound imaging Minimum variance beamforming Deep neural network Low computation complexity Ultrafast ultrasound imaging Adaptive beamforming
ISSN:	0041-624X, 1874-9968, 1874-9968
On-line prístup:	Získať plný text
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