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High-density diffuse correlation tomography with enhanced depth localization and minimal surface artefacts.

Ria PaulMurali KHari M Varma
Published in: Biomedical optics express (2022)
A spatially weighted filter applied to both the measurement and the Jacobian is proposed for high-density diffuse correlation tomography (DCT) to remove unwanted extracerebral interferences and artefacts along with better depth localization in the reconstructed blood flow images. High-density DCT is implemented by appropriate modification of recently introduced Multi-speckle Diffuse Correlation Spectroscopy (M-DCS) system. Additionally, we have used autocorrelation measurements at multiple delay-times in an iterative manner to improve the reconstruction results. The proposed scheme has been validated by simulations, phantom experiments and in-vivo human experiments.
Keyphrases
  • high density
  • blood flow
  • low grade
  • optical coherence tomography
  • endothelial cells
  • deep learning
  • magnetic resonance imaging
  • convolutional neural network
  • mass spectrometry
  • dual energy
  • network analysis