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Proceedings Paper

Monte Carlo modeling for perfusion monitoring
Author(s): Brandon Dixon; Bennett L. Ibey; M. Nance Ericson; Mark A. Wilson; Gerard L. Cote
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Paper Abstract

A Monte Carlo method was developed to model light transport through multi-layered tissue with the application focused on the development of an implantable perfusion monitor. The model was developed and then verified experimentally with a micro perfusion phantom. The program modeled a three-layer (tissue, capillary bed, tissue) scenario to investigate the source-detector separation effects for an implantable sensor. The Monte Carlo code was used specifically to model the effects of absorption and scattering properties of the surrounding tissue, the hemoglobin concentration in the middle layer, the ratio of thickness of the capillary layer to the first layer, and the probe-source separation distance on the propagation of the light through the tissue. The model was verified experimentally, using a simple in vitro system with optical source and detector fibers separated at various distances. The model was also used to investigate fluctuations in luminance as a result of hemoglobin concentrations and the response of the system to various wavelengths. The model was helpful for an ongoing project to develop an implantable perfusion monitor for transplanted organs or skin flaps.

Paper Details

Date Published: 23 July 2003
PDF: 7 pages
Proc. SPIE 4965, Optical Diagnostics and Sensing in Biomedicine III, (23 July 2003); doi: 10.1117/12.479264
Show Author Affiliations
Brandon Dixon, Texas A&M Univ. (United States)
Bennett L. Ibey, Texas A&M Univ. (United States)
M. Nance Ericson, Oak Ridge National Lab. (United States)
Mark A. Wilson, Univ. of Pittsburgh (United States)
Gerard L. Cote, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 4965:
Optical Diagnostics and Sensing in Biomedicine III
Alexander V. Priezzhev; Gerard L. Cote, Editor(s)

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