Determination of blood oxygenation in the brain by time-resolved reflectance spectroscopy: influence of the skin, skull, and meninges

Andreas H. Hielscher, Hanli Liu, Li Hong Wang, Frank K. Tittel, Britton Chance, Steven L. Jacques

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

5 Scopus citations

Abstract

Near infrared light has been used for the determination of blood oxygenation in the brain but little attention has been paid to the fact that the states of blood oxygenation in arteries, veins, and capillaries differ substantially. In this study, Monte Carlo simulations for a heterogeneous system were conducted, and near infrared time-resolved reflectance measurements were performed on a heterogeneous tissue phantom model. The model was made of a solid polyester resin, which simulates the tissue background. A network of tubes was distributed uniformly through the resin to simulate the blood vessels. The time-resolved reflectance spectra were taken with different absorbing solutions filled in the network. Based on the simulation and experimental results, we investigated the dependence of the absorption coefficient obtained from the heterogeneous system on the absorption of the actual absorbing solution filled in the tubes. We show that light absorption by the brain should result from the combination of blood and blood-free tissue background.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages15-25
Number of pages11
ISBN (Print)081941431X
StatePublished - 1994
Externally publishedYes
EventBiochemical Diagnostic Instrumentation - Los Angeles, CA, USA
Duration: Jan 24 1994Jan 24 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2136
ISSN (Print)0277-786X

Other

OtherBiochemical Diagnostic Instrumentation
CityLos Angeles, CA, USA
Period1/24/941/24/94

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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