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Proceedings Paper

Near-infrared (NIR) spectroscopy for detection of water content in two in-vitro models of brain edema
Author(s): Lee J. Johnson; Nitish V. Thakor; Daniel F. Hanley
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Paper 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 957 nm) was used to assess water content of Liposyn solutions. We demonstrated a strong relation between wavelength specific light interactance and water content, for (n equals 4) serial dilutions from 97.6% to 80.0% water, R2 equals 0.985 plus or minus 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 equals 4). Using 695 nm and 957 nm NIR light, a correlation between NIR interactance and brain water content was again obtained, R2 equals 0.957 plus or minus 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.

Paper Details

Date Published: 18 August 1997
PDF: 8 pages
Proc. SPIE 2979, Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II, (18 August 1997); doi: 10.1117/12.280278
Show Author Affiliations
Lee J. Johnson, Johns Hopkins Univ. (United States)
Nitish V. Thakor, Johns Hopkins Univ. (United States)
Daniel F. Hanley, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 2979:
Optical Tomography and Spectroscopy of Tissue: Theory, Instrumentation, Model, and Human Studies II
Britton Chance; Robert R. Alfano, Editor(s)

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