Deep learning in photoacoustic imaging: a review.

Journal: Journal of biomedical optics
Published Date: Apr 1, 2021

Abstract

SIGNIFICANCE: Photoacoustic (PA) imaging can provide structural, functional, and molecular information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal detection deteriorates image quality, and quantitative PAI (QPAI) remains challenging due to the unknown light fluence spectra in deep tissue. In recent years, deep learning (DL) has shown outstanding performance when implemented in PAI, with applications in image reconstruction, quantification, and understanding.

Authors

  • Handi Deng
    Tsinghua University, Department of Electronic Engineering, Haidian, Beijing, China.
  • Hui Qiao
    Tsinghua University, Department of Automation, Beijing, China.
  • Qionghai Dai
  • Cheng Ma
    Department of Statistics, University of Michigan, Ann Arbor, MI, USA.

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