Adaptive Ultrasound Beamforming Using Deep Learning

Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-quality images from acquired sensor data. This reconstruction process is pivotal across many applications, spanning from magnetic resonance imaging to ultrasound imaging. While advanced data-adaptive r...

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Bibliographic Details
Published in:	IEEE transactions on medical imaging 2020-12, Vol.39 (12), p.3967-3978
Main Authors:	Luijten, Ben, Cohen, Regev, de Bruijn, Frederik J., Schmeitz, Harold A. W., Mischi, Massimo, Eldar, Yonina C., van Sloun, Ruud J. G.
Format:	Article
Language:	English
Subjects:	Adaptive algorithms adaptive beamforming Adaptive systems Array signal processing Arrays Artificial neural networks Beamforming Computer applications Data acquisition Deep learning Image acquisition Image quality Image reconstruction Imaging Machine learning Magnetic resonance imaging Medical imaging Neural networks Plane waves Signal processing Synthetic apertures Training Ultrasonic imaging Ultrasonic testing Ultrasound
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