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Optimal hemoglobin extinction coefficient data set for near-infrared spectroscopy.

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|December 1, 2017
PubMed
Summary

Choosing the right extinction coefficient (ε) is crucial for accurate Near-infrared spectroscopy (NIRS) measurements. The Moaveni et al (1970) ε data set proved optimal for quantifying hemoglobin concentrations, minimizing variations in hemodynamic measurements.

Keywords:
(120.0120) Instrumentation, measurement, and metrology(170.1470) Blood or tissue constituent monitoring(170.6510) Spectroscopy

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Area of Science:

  • Biomedical Optics
  • Physiological Measurement
  • Spectroscopy

Background:

  • Extinction coefficient (ε) is vital for quantifying hemoglobin concentrations using Near-infrared spectroscopy (NIRS).
  • Variations in ε data sets significantly impact hemodynamic measurements.
  • Optimal ε selection is critical for reliable NIRS quantification.

Purpose of the Study:

  • To evaluate the impact of different extinction coefficient (ε) data sets on NIRS quantification.
  • To identify the optimal ε data set for accurate hemoglobin concentration measurements.
  • To assess the sensitivity of hemodynamic parameters to ε selection.

Main Methods:

  • Conducted model experiments using 57 human blood samples with varied oxygen states and blood concentrations.
  • Mimicked tissue hemodynamic variations to simulate in vivo conditions.
  • Evaluated seven reported ε data sets by comparing NIRS quantifications with assumed values.

Main Results:

  • Significant variations in NIRS quantification were observed across different ε data sets.
  • The Moaveni et al (1970) ε data set demonstrated optimal performance.
  • The total hemoglobin concentration (Δ[tHb]) parameter was most sensitive to the choice of ε data set.

Conclusions:

  • The selection of an appropriate extinction coefficient (ε) data set is paramount for accurate NIRS-based hemodynamic monitoring.
  • The Moaveni et al (1970) ε data set is recommended for precise quantification of oxy-, deoxy-, and total-hemoglobin concentrations.
  • Researchers and clinicians should carefully consider ε data set selection to ensure the reliability of NIRS measurements.