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Proceedings Paper

Optical modeling toward optimizing monitoring of intestinal perfusion in trauma patients
Author(s): Tony J. Akl; Mark A. Wilson; M. Nance Ericson; Gerard L. Coté
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Paper Abstract

Trauma is the number one cause of death for people between the ages 1 and 44 years in the United States. In addition, according to the Centers of Disease Control and Prevention, injury results in over 31 million emergency department visits annually. Minimizing the resuscitation period in major abdominal injuries increases survival rates by correcting impaired tissue oxygen delivery. Optimization of resuscitation requires a monitoring method to determine sufficient tissue oxygenation. Oxygenation can be assessed by determining the adequacy of tissue perfusion. In this work, we present the design of a wireless perfusion and oxygenation sensor based on photoplethysmography. Through optical modeling, the benefit of using the visible wavelengths 470, 525 and 590nm (around the 525nm hemoglobin isobestic point) for intestinal perfusion monitoring is compared to the typical near infrared (NIR) wavelengths (805nm isobestic point) used in such sensors. Specifically, NIR wavelengths penetrate through the thin intestinal wall (~4mm) leading to high background signals. However, these visible wavelengths have two times shorter penetration depth that the NIR wavelengths. Monte-Carlo simulations show that the transmittance of the three selected wavelengths is lower by 5 orders of magnitude depending on the perfusion state. Due to the high absorbance of hemoglobin in the visible range, the perfusion signal carried by diffusely reflected light is also enhanced by an order of magnitude while oxygenation signal levels are maintained. In addition, short source-detector separations proved to be beneficial for limiting the probing depth to the thickness of the intestinal wall.

Paper Details

Date Published: 25 February 2013
PDF: 6 pages
Proc. SPIE 8591, Optical Diagnostics and Sensing XIII: Toward Point-of-Care Diagnostics, 859106 (25 February 2013); doi: 10.1117/12.2003352
Show Author Affiliations
Tony J. Akl, Texas A&M Univ. (United States)
Mark A. Wilson, Univ. of Pittsburgh (United States)
VA Pittsburgh Healthcare System (United States)
M. Nance Ericson, Oak Ridge National Lab. (United States)
Gerard L. Coté, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 8591:
Optical Diagnostics and Sensing XIII: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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