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Proceedings Paper

Investigation of source-detector separation optimization for an implantable perfusion and oxygenation sensor for liver blood vessels
Author(s): J. S. Baba; T. J. Akl; G. L. Coté; M. A. Wilson; M. N. Ericson
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Paper Abstract

An implanted system is being developed to monitor transplanted liver health during the critical 7-10 day period posttransplantation. The unit will monitor organ perfusion and oxygen consumption using optically-based probes placed on both the inflow and outflow blood vessels, and on the liver parenchymal surface. Sensing probes are based on a 3- wavelength LED source and a photodiode detector. Sample diffuse reflectance is measured at 735, 805, and 940 nm. To ascertain optimal source-to-photodetector spacing for perfusion measurement in blood vessels, an ex vivo study was conducted. In this work, a dye mixture simulating 80% blood oxygen saturation was developed and perfused through excised porcine arteries while collecting data for various preset probe source-to-photodetector spacings. The results from this study demonstrate a decrease in the optical signal with decreasing LED drive current and a reduction in perfusion index signal with increasing probe spacing. They also reveal a 2- to 4-mm optimal range for blood vessel perfusion probe source-to-photodetector spacing that allows for sufficient perfusion signal modulation depth with maximized signal to noise ratio (SNR). These findings are currently being applied to guide electronic configuration and probe placement for in vivo liver perfusion porcine model studies.

Paper Details

Date Published: 21 February 2011
PDF: 6 pages
Proc. SPIE 7890, Advanced Biomedical and Clinical Diagnostic Systems IX, 78900A (21 February 2011); doi: 10.1117/12.875509
Show Author Affiliations
J. S. Baba, Oak Ridge National Lab. (United States)
T. J. Akl, Texas A&M Univ. (United States)
G. L. Coté, Texas A&M Univ. (United States)
M. A. Wilson, Univ. of Pittsburgh (United States)
VA Pittsburgh Healthcare System (United States)
M. N. Ericson, Oak Ridge National Lab. (United States)


Published in SPIE Proceedings Vol. 7890:
Advanced Biomedical and Clinical Diagnostic Systems IX
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest, Editor(s)

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