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Proceedings Paper

Mathematical modeling of reflectance and intrinsic fluorescence for cancer detection in human pancreatic tissue
Author(s): Robert H. Wilson; Malavika Chandra; James Scheiman; Diane Simeone; Barbara McKenna; Julianne Purdy; Mary-Ann Mycek
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Paper Abstract

Pancreatic adenocarcinoma has a five-year survival rate of only 4%, largely because an effective procedure for early detection has not been developed. In this study, mathematical modeling of reflectance and fluorescence spectra was utilized to quantitatively characterize differences between normal pancreatic tissue, pancreatitis, and pancreatic adenocarcinoma. Initial attempts at separating the spectra of different tissue types involved dividing fluorescence by reflectance, and removing absorption artifacts by applying a "reverse Beer-Lambert factor" when the absorption coefficient was modeled as a linear combination of the extinction coefficients of oxy- and deoxy-hemoglobin. These procedures demonstrated the need for a more complete mathematical model to quantitatively describe fluorescence and reflectance for minimally-invasive fiber-based optical diagnostics in the pancreas.

Paper Details

Date Published: 25 February 2009
PDF: 9 pages
Proc. SPIE 7187, Biomedical Applications of Light Scattering III, 71870H (25 February 2009); doi: 10.1117/12.809243
Show Author Affiliations
Robert H. Wilson, Univ. of Michigan (United States)
Malavika Chandra, Univ. of Michigan (United States)
James Scheiman, Univ. of Michigan (United States)
Diane Simeone, Univ. of Michigan (United States)
Barbara McKenna, Univ. of Michigan (United States)
Julianne Purdy, Univ. of Michigan (United States)
Mary-Ann Mycek, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 7187:
Biomedical Applications of Light Scattering III
Adam Wax; Vadim Backman, Editor(s)

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