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Three-dimensional microvascular network reconstruction from in vivo images with adaptation of the regional inhomogeneity in the signal-to-noise ratio.

Takuma SugashiHiroya YukiTomoya NiizawaHiroyuki TakuwaIwao KannoKazuto Masamoto
Published in: Microcirculation (New York, N.Y. : 1994) (2021)
The present methods allow consistent segmentation of microvasculature by adapting the local inhomogeneity in the SNR, which will be useful for quantitative comparison of the microvascular networks, such as under disease conditions where SNR in the 2PLSM images varies over space and time.
Keyphrases
  • convolutional neural network
  • deep learning
  • optical coherence tomography
  • air pollution
  • machine learning
  • high resolution
  • clinical evaluation