Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning

  title={Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning},
  author={Derek Allman and Austin Reiter and Muyinatu A. Lediju Bell},
  journal={IEEE Transactions on Medical Imaging},
Interventional applications of photoacoustic imaging typically require visualization of point-like targets, such as the small, circular, cross-sectional tips of needles, catheters, or brachytherapy seeds. When these point-like targets are imaged in the presence of highly echogenic structures, the resulting photoacoustic wave creates a reflection artifact that may appear as a true signal. We propose to use deep learning techniques to identify these types of noise artifacts for removal in… CONTINUE READING


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