Literature DB >> 29188110

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

Yue Zhao1, Lina Qiu2, Yunlong Sun1, Chong Huang3, Ting Li1.   

Abstract

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.

Entities:  

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

Year:  2017        PMID: 29188110      PMCID: PMC5695960          DOI: 10.1364/BOE.8.005151

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  12 in total

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Journal:  Neuroimage       Date:  2004-04       Impact factor: 6.556

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Review 4.  Extinction coefficients of hemoglobin for near-infrared spectroscopy of tissue.

Authors:  Jae G Kim; Mengna Xia; Hanli Liu
Journal:  IEEE Eng Med Biol Mag       Date:  2005 Mar-Apr

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Journal:  Clin Chem       Date:  1991-09       Impact factor: 8.327

6.  Study of an algorithm based on model experiments and diffusion theory for a portable tissue oximeter.

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Journal:  J Biomed Opt       Date:  1997-04       Impact factor: 3.170

7.  Variation of haemoglobin extinction coefficients can cause errors in the determination of haemoglobin concentration measured by near-infrared spectroscopy.

Authors:  J G Kim; H Liu
Journal:  Phys Med Biol       Date:  2007-10-02       Impact factor: 3.609

8.  Significant and sustaining elevation of blood oxygen induced by Chinese cupping therapy as assessed by near-infrared spectroscopy.

Authors:  Ting Li; Yaoxian Li; Yu Lin; Kai Li
Journal:  Biomed Opt Express       Date:  2016-12-12       Impact factor: 3.732

9.  Theoretical analysis of diffuse reflectance from a two-layer tissue model.

Authors:  S Takatani; M D Graham
Journal:  IEEE Trans Biomed Eng       Date:  1979-12       Impact factor: 4.538

10.  Characterization of the near infrared absorption spectra of cytochrome aa3 and haemoglobin for the non-invasive monitoring of cerebral oxygenation.

Authors:  S Wray; M Cope; D T Delpy; J S Wyatt; E O Reynolds
Journal:  Biochim Biophys Acta       Date:  1988-03-30
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  10 in total

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2.  Spatial complexity method for tracking brain development and degeneration using functional near-infrared spectroscopy.

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3.  Online Removal of Baseline Shift with a Polynomial Function for Hemodynamic Monitoring Using Near-Infrared Spectroscopy.

Authors:  Ke Zhao; Yaoyao Ji; Yan Li; Ting Li
Journal:  Sensors (Basel)       Date:  2018-01-21       Impact factor: 3.576

4.  Simultaneous measurements of tissue blood flow and oxygenation using a wearable fiber-free optical sensor.

Authors:  Xuhui Liu; Yutong Gu; Chong Huang; Mingjun Zhao; Yanda Cheng; Elie G Abu Jawdeh; Henrietta S Bada; Lei Chen; Guoqiang Yu
Journal:  J Biomed Opt       Date:  2021-01       Impact factor: 3.170

5.  Functional interferometric diffusing wave spectroscopy of the human brain.

Authors:  Wenjun Zhou; Oybek Kholiqov; Jun Zhu; Mingjun Zhao; Lara L Zimmermann; Ryan M Martin; Bruce G Lyeth; Vivek J Srinivasan
Journal:  Sci Adv       Date:  2021-05-12       Impact factor: 14.136

6.  Time-domain NIRS system based on supercontinuum light source and multi-wavelength detection: validation for tissue oxygenation studies.

Authors:  Aleh Sudakou; Frédéric Lange; Helene Isler; Pranav Lanka; Stanislaw Wojtkiewicz; Piotr Sawosz; Daniel Ostojic; Martin Wolf; Antonio Pifferi; Ilias Tachtsidis; Adam Liebert; Anna Gerega
Journal:  Biomed Opt Express       Date:  2021-09-30       Impact factor: 3.732

7.  A low-cost, wearable, do-it-yourself functional near-infrared spectroscopy (DIY-fNIRS) headband.

Authors:  Francis Tsow; Anupam Kumar; Sm Hadi Hosseini; Audrey Bowden
Journal:  HardwareX       Date:  2021-05-20

8.  Characterizing reproducibility of cerebral hemodynamic responses when applying short-channel regression in functional near-infrared spectroscopy.

Authors:  Dominik G Wyser; Christoph M Kanzler; Lena Salzmann; Olivier Lambercy; Martin Wolf; Felix Scholkmann; Roger Gassert
Journal:  Neurophotonics       Date:  2022-03-07       Impact factor: 4.212

9.  Causal connectivity from right DLPFC to IPL in schizophrenia patients: a pilot study.

Authors:  Branislava Ćurčić-Blake; Claire Kos; André Aleman
Journal:  Schizophrenia (Heidelb)       Date:  2022-03-07

10.  Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry.

Authors:  Damon T DePaoli; Prudencio Tossou; Martin Parent; Dominic Sauvageau; Daniel C Côté
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  10 in total

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