Literature DB >> 17921586

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

J G Kim1, H Liu.   

Abstract

Near-infrared spectroscopy or imaging has been extensively applied to various biomedical applications since it can detect the concentrations of oxyhaemoglobin (HbO(2)), deoxyhaemoglobin (Hb) and total haemoglobin (Hb(total)) from deep tissues. To quantify concentrations of these haemoglobin derivatives, the extinction coefficient values of HbO(2) and Hb have to be employed. However, it was not well recognized among researchers that small differences in extinction coefficients could cause significant errors in quantifying the concentrations of haemoglobin derivatives. In this study, we derived equations to estimate errors of haemoglobin derivatives caused by the variation of haemoglobin extinction coefficients. To prove our error analysis, we performed experiments using liquid-tissue phantoms containing 1% Intralipid in a phosphate-buffered saline solution. The gas intervention of pure oxygen was given in the solution to examine the oxygenation changes in the phantom, and 3 mL of human blood was added twice to show the changes in [Hb(total)]. The error calculation has shown that even a small variation (0.01 cm(-1) mM(-1)) in extinction coefficients can produce appreciable relative errors in quantification of Delta[HbO(2)], Delta[Hb] and Delta[Hb(total)]. We have also observed that the error of Delta[Hb(total)] is not always larger than those of Delta[HbO(2)] and Delta[Hb]. This study concludes that we need to be aware of any variation in haemoglobin extinction coefficients, which could result from changes in temperature, and to utilize corresponding animal's haemoglobin extinction coefficients for the animal experiments, in order to obtain more accurate values of Delta[HbO(2)], Delta[Hb] and Delta[Hb(total)] from in vivo tissue measurements.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17921586     DOI: 10.1088/0031-9155/52/20/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  19 in total

1.  Wavelength optimization for rapid chromophore mapping using spatial frequency domain imaging.

Authors:  Amaan Mazhar; Steven Dell; David J Cuccia; Sylvain Gioux; Anthony J Durkin; John V Frangioni; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2010 Nov-Dec       Impact factor: 3.170

2.  Effects of Processing Methods on fNIRS Signals Assessed During Active Walking Tasks in Older Adults.

Authors:  Meltem Izzetoglu; Roee Holtzer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-02-12       Impact factor: 3.802

3.  Applications of smartphone-based near-infrared (NIR) imaging, measurement, and spectroscopy technologies to point-of-care (POC) diagnostics.

Authors:  Wenjing Huang; Shenglin Luo; Dong Yang; Sheng Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2021-03-15       Impact factor: 3.066

4.  Bundled-optode implementation for 3D imaging in functional near-infrared spectroscopy.

Authors:  Hoang-Dung Nguyen; Keum-Shik Hong
Journal:  Biomed Opt Express       Date:  2016-08-16       Impact factor: 3.732

5.  Noninvasive monitoring of treatment response in a rabbit cyanide toxicity model reveals differences in brain and muscle metabolism.

Authors:  Jae G Kim; Jangwoen Lee; Sari B Mahon; David Mukai; Steven E Patterson; Gerry R Boss; Bruce J Tromberg; Matthew Brenner
Journal:  J Biomed Opt       Date:  2012-10       Impact factor: 3.170

6.  Comparison of tissue oximeters on a liquid phantom with adjustable optical properties.

Authors:  S Kleiser; N Nasseri; B Andresen; G Greisen; M Wolf
Journal:  Biomed Opt Express       Date:  2016-07-11       Impact factor: 3.732

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

Authors:  Yue Zhao; Lina Qiu; Yunlong Sun; Chong Huang; Ting Li
Journal:  Biomed Opt Express       Date:  2017-10-23       Impact factor: 3.732

8.  Comparison of tissue oximeters on a liquid phantom with adjustable optical properties: an extension.

Authors:  S Kleiser; D Ostojic; B Andresen; N Nasseri; H Isler; F Scholkmann; T Karen; G Greisen; M Wolf
Journal:  Biomed Opt Express       Date:  2017-12-05       Impact factor: 3.732

9.  Monitoring cerebral oxygenation and local field potential with a variation of isoflurane concentration in a rat model.

Authors:  Dong-Hyuk Choi; Teo Jeon Shin; Seonghyun Kim; Jayyoung Bae; Dongrae Cho; Jinsil Ham; Ji-Young Park; Hyoung-Ihl Kim; Seongwook Jeong; Boreom Lee; Jae Gwan Kim
Journal:  Biomed Opt Express       Date:  2016-09-16       Impact factor: 3.732

10.  Using simultaneous repetitive Transcranial Magnetic Stimulation/functional Near Infrared Spectroscopy (rTMS/fNIRS) to measure brain activation and connectivity.

Authors:  F Andrew Kozel; Fenghua Tian; Sameer Dhamne; Paul E Croarkin; Shawn M McClintock; Alan Elliott; Kimberly S Mapes; Mustafa M Husain; Hanli Liu
Journal:  Neuroimage       Date:  2009-05-14       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.