TY - GEN
T1 - Recent Developments in Adaptive Beamforming
AU - Hasegawa, Hideyuki
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Beamforming is an indispensable process to obtain an ultrasound image. In most of clinical ultrasound systems, the delay-and-sum (DAS) beamformer is implemented. The DAS beamformer applies time delays to ultrasonic echo signals received by individual transducer elements in an ultrasonic probe so that the phases of echoes from a point at the focus are aligned and, then, the delay compensated signals are summed to enhance the echo signal from the focal point. The DAS beamformer is very computationally efficient and suitable for real-time processing. On the other hand, its ability in suppression of off-axis signals is limited. To improve the performance of ultrasound beamformers, various studies on adaptive beamformers have been conducted for a long time and still being continuing nowadays. This paper provides a brief review on adaptive beamformers, particularly on the coherence-based adaptive imaging and its relation to the minimum variance beamforming.
AB - Beamforming is an indispensable process to obtain an ultrasound image. In most of clinical ultrasound systems, the delay-and-sum (DAS) beamformer is implemented. The DAS beamformer applies time delays to ultrasonic echo signals received by individual transducer elements in an ultrasonic probe so that the phases of echoes from a point at the focus are aligned and, then, the delay compensated signals are summed to enhance the echo signal from the focal point. The DAS beamformer is very computationally efficient and suitable for real-time processing. On the other hand, its ability in suppression of off-axis signals is limited. To improve the performance of ultrasound beamformers, various studies on adaptive beamformers have been conducted for a long time and still being continuing nowadays. This paper provides a brief review on adaptive beamformers, particularly on the coherence-based adaptive imaging and its relation to the minimum variance beamforming.
KW - adaptive beamforming
KW - coherence
KW - minimum variance
KW - noise estimate
UR - http://www.scopus.com/inward/record.url?scp=85077576088&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2019.8925830
DO - 10.1109/ULTSYM.2019.8925830
M3 - 会議への寄与
AN - SCOPUS:85077576088
T3 - IEEE International Ultrasonics Symposium, IUS
SP - 1063
EP - 1066
BT - 2019 IEEE International Ultrasonics Symposium, IUS 2019
PB - IEEE Computer Society
T2 - 2019 IEEE International Ultrasonics Symposium, IUS 2019
Y2 - 6 October 2019 through 9 October 2019
ER -