Quantification of blood flow index in diffuse correlation spectroscopy using a robust deep learning method.

Journal: Journal of biomedical optics
PMID: 38283935

Abstract

SIGNIFICANCE: Diffuse correlation spectroscopy (DCS) is a powerful, noninvasive optical technique for measuring blood flow. Traditionally the blood flow index (BFi) is derived through nonlinear least-square fitting the measured intensity autocorrelation function (ACF). However, the fitting process is computationally intensive, susceptible to measurement noise, and easily influenced by optical properties (absorption coefficient and reduced scattering coefficient ) and scalp and skull thicknesses.

Authors

  • Quan Wang
    Laboratory of Surgical Oncology, Peking University People's Hospital, Peking University, Beijing, China.
  • Mingliang Pan
    University of Strathclyde, Department of Biomedical Engineering, Faculty of Engineering, Glasgow, United Kingdom.
  • Zhenya Zang
  • David Day-Uei Li
    University of Strathclyde, Department of Biomedical Engineering, Faculty of Engineering, Glasgow, United Kingdom.

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