Deep Neural Networks for Ultrasound Beamforming

We investigate the use of deep neural networks (DNNs) for suppressing off-axis scattering in ultrasound channel data. Our implementation operates in the frequency domain via the short-time Fourier transform. The inputs to the DNN consisted of the separated real and imaginary components (i.e. in-phas...

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Veröffentlicht in:	IEEE transactions on medical imaging 2018-09, Vol.37 (9), p.2010-2021
Hauptverfasser:	Luchies, Adam C., Byram, Brett C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Array signal processing Artificial neural networks Beamforming Computer simulation Cysts Deep Learning Fourier Analysis Fourier transforms Frequency-domain analysis Humans image contrast enhancement Image Processing, Computer-Assisted - methods Liver Liver - diagnostic imaging Male Medical imaging Neural networks Neurons Noise levels off-axis scattering Phantoms, Imaging Scattering Sidelobes Training Ultrasonic imaging Ultrasonography - methods Ultrasound Ultrasound imaging
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