Near-infrared spectrophotometric assessment of brain blood oxygenation

J. C. Jensen, D. Amory, J. K.J. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Near-infrared light can penetrate skin and tissue readily while absorbed by hemoglobin and oxyhemoglobin at different wavelengths. Thus, a spectrophometric method can be employed for quantification of organ oxygenation. A study of the optical transmission of different wavelengths of light through the brain/skull interface to assess brain oxygenation and blood flow is presented. The optical absorbance was shown to increase with blood oxygenation at 700 nm. The wavelength of 700 nm detects deoxygenated hemoglobin since its absorption is greatest at lower levels of oxygenation. The wavelength of 880 nm detects oxygenated hemoglobin since its absorption is greatest at higher levels of oxygenation. The wavelength of 805 nm is the isobestic point, which is the wavelength where the oxygenated and deoxygenated hemoglobin absorption curves cross. This wavelength can be used as the reference, since the absorption level should not change for the different levels of blood oxygenation.

Original languageEnglish (US)
Title of host publicationBiomedical Engineering Perspectives
Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
PublisherPubl by IEEE
Pages1150-1151
Number of pages2
Editionpt 3
ISBN (Print)0879425598
StatePublished - 1990
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: Nov 1 1990Nov 4 1990

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 3
ISSN (Print)0589-1019

Other

OtherProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period11/1/9011/4/90

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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