Improving lateral resolution in 3-d imaging with micro-beamforming through adaptive beamforming by deep learning

HIGHLIGHTS

  • who: Boudewine W. Ossenkoppele from the Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands have published the research: Improving Lateral Resolution in 3-D Imaging With Micro-beamforming Through Adaptive Beamforming by Deep Learning, in the Journal: (JOURNAL)
  • what: The authors propose the use of adaptive beamforming by deep learning (ABLE) in combination with training targets generated by a large aperture array which inherently has better lateral resolution. The authors have reported that deep learning based adaptive beamforming can be used to improve lateral resolution of volumetric ultrasound images acquired by on . . .

     

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