• Corpus ID: 248810947

Deep Learning Improves Dataset Recovery for High Frame Rate Synthetic Transmit Aperture Imaging

@inproceedings{Zhang2022DeepLI,
  title={Deep Learning Improves Dataset Recovery for High Frame Rate Synthetic Transmit Aperture Imaging},
  author={Jingke Zhang and Jianwen Luo},
  year={2022}
}
 Abstract —Synthetic transmit aperture (STA) imaging benefits from the two-way dynamic focusing to achieve optimal lateral resolution and contrast resolution in the full field of view, at the cost of low frame rate (FR) and low signal-to-noise ratio (SNR). In our previous studies, compressed sensing based synthetic transmit aperture (CS-STA) and minimal l 2 -norm least squares (LS-STA) methods were proposed to recover the complete STA dataset from fewer Hadamard-encoded plane wave (PW… 

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