Mathematical modeling of reflectance and intrinsic fluorescence for cancer detection in human pancreatic tissue

Robert H. Wilson; Malavika Chandra; James Scheiman; Diane Simeone; Barbara McKenna; Julianne Purdy; Mary-Ann Mycek

doi:10.1117/12.809243

24 February 2009 Mathematical modeling of reflectance and intrinsic fluorescence for cancer detection in human pancreatic tissue

Robert H. Wilson, Malavika Chandra, James Scheiman, Diane Simeone, Barbara McKenna, Julianne Purdy, Mary-Ann Mycek

Author Affiliations +

Proceedings Volume 7187, Biomedical Applications of Light Scattering III; 71870H (2009) https://doi.org/10.1117/12.809243
Event: SPIE BiOS, 2009, San Jose, California, United States

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.

Citation Download Citation

Robert H. Wilson, Malavika Chandra, James Scheiman, Diane Simeone, Barbara McKenna, Julianne Purdy, and Mary-Ann Mycek "Mathematical modeling of reflectance and intrinsic fluorescence for cancer detection in human pancreatic tissue", Proc. SPIE 7187, Biomedical Applications of Light Scattering III, 71870H (24 February 2009); https://doi.org/10.1117/12.809243

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available