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Simultaneously extracting multiple parameters via fitting one single autocorrelation function curve in diffuse

Lixin Dong1, Lian He, Yu Lin

  • 1Center for Biomedical Engineering, University of Kentucky College of Engineering, Lexington, KY 40506, USA. lixin.dong@uky.edu

IEEE Transactions on Bio-Medical Engineering
|November 30, 2012
PubMed
Summary
This summary is machine-generated.

Near-infrared diffuse correlation spectroscopy (DCS) can measure blood flow. Simultaneous fitting of the coherence factor (β) and blood flow index (αD(B)) improves accuracy over traditional methods.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Photonics

Background:

  • Near-infrared diffuse correlation spectroscopy (DCS) noninvasively measures blood flow in deep tissues.
  • DCS relies on the correlation diffusion equation, relating autocorrelation functions to blood flow index (αD(B)), tissue optical properties (μ(a), μ'(s)), and coherence factor (β).

Purpose of the Study:

  • To investigate simultaneous multi-parameter fitting from a single DCS autocorrelation curve.
  • To evaluate the performance of different fitting methods for DCS data analysis.

Main Methods:

  • Computer simulations were performed to model DCS signal acquisition.
  • Tissue-like phantom experiments were conducted to validate simulation results.
  • In vivo measurements in biological tissues were utilized for real-world data assessment.

Main Results:

  • Simultaneous fitting of blood flow index (αD(B)) with tissue absorption (μ(a)) or scattering (μ'(s)) is impractical due to significant parameter crosstalk.
  • Simultaneous fitting of the coherence factor (β) and blood flow index (αD(B)) is feasible and yields more accurate results.
  • The simultaneous β and αD(B) fitting method demonstrated a smaller standard deviation compared to conventional two-step fitting.

Conclusions:

  • Simultaneous fitting of multiple DCS parameters is challenging due to interdependencies.
  • Simultaneously fitting β and αD(B) offers a more robust and accurate approach for DCS data analysis.
  • This study provides essential guidance for optimizing DCS data processing and interpretation.