Optimal hemoglobin extinction coefficient data set for near-infrared spectroscopy

Yue Zhao, Lina Qiu, Yunlong Sun, Chong Huang, Ting Li

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


Extinction coefficient (ε) is a critical parameter for quantification of oxy-, deoxy-, and total-hemoglobin concentrations (Δ[HbO2], Δ[Hb], Δ[tHb]) from optical measurements of Near-infrared spectroscopy (NIRS). There are several different ε data sets which were frequently used in NIRS quantification. A previous study reported that even a small variation in ε could cause a significant difference in hemodynamic measurements. Apparently the selection of an optimal ε data set is important for NIRS. We conducted oxygen-state-varied and blood-concentration-varied model experiments with 57 human blood samples to mimic tissue hemodynamic variations. Seven reported ε data sets were evaluated by comparisons between quantifications and assumed values. We found that the Moaveni et al (1970)’ ε data set was the optimal one, the NIRS quantification varied significantly among different ε data sets and parameter Δ[tHb] was most sensitive to ε data sets selection.

Original languageEnglish
Article number#303715
Pages (from-to)5151-5159
Number of pages9
JournalBiomedical Optics Express
Issue number11
StatePublished - Nov 1 2017

Bibliographical note

Funding Information:
National Natural Science Fund Projects (No.61675039) CAMS Innovation Fund for Medical Sciences (No. 2016-I2M-3-023) One University One Zone Growth Fund (No. A03013023001019) Fundamental Research Funds for the Central Universities (No. ZYGX2016J052).

Publisher Copyright:
© 2017 Optical Society of America.

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics


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