Near infrared (NIR) spectroscopy for detection of water content in two in vitro models of brain edema

Research output: Contribution to journalConference articlepeer-review

Abstract

Currently, methods for the detection of brain edema in patients or laboratory experiments are invasive or inconvenient for continuous monitoring. We have performed experiments on two models of brain edema to determine the validity of Differential Near Infrared Spectroscopy (NIR) as a real-time, low cost and noninvasive method of monitoring brain edema. As a chemical in-vitro model, we prepared serial dilutions of Liposyn III, a fat emulsion, to simulate varying degrees of brain water content. NIR light at two wavelengths (703 nm and 957nm) was used to assess water content of Liposyn solutions. We demonstrated a strong relation between wavelength specific light interactance and water content, for (n=4) serial dilutions from 97.6 % to 80.0 % water, R2 = 0.985±0.017. Secondly an in vitro brain tissue model was developed to test the NIR method against wet-to-dry water content measurements. A total brain water content range of from 83.5 to 67.6 water was investigated (n=4). Using 695nm and 957 nm NIR light, a correlation between NIR interactance and brain water content was again obtained, R2 = 0.957±0.027. Our preliminary results suggest Differential NIR spectroscopy may serve as an accurate and useful technique for monitoring surface brain edema in clinical and laboratory settings.

Original languageEnglish (US)
Pages (from-to)452-459
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2979
DOIs
StatePublished - Dec 1 1997
EventProceedings of Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model and Human Studies II - San Jose, CA, United States
Duration: Feb 9 1997Feb 12 1997

Keywords

  • Brain edema
  • Head injury
  • Near infrared
  • Noninvasive
  • Water content

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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