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Proceedings Paper

Photon-tissue interaction model for quantitative assessment of biological tissues
Author(s): Seung Yup Lee; William R. Lloyd; Robert H. Wilson; Malavika Chandra; Barbara McKenna; Diane Simeone; James Scheiman; Mary-Ann Mycek
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Paper Abstract

In this study, we describe a direct fit photon-tissue interaction model to quantitatively analyze reflectance spectra of biological tissue samples. The model rapidly extracts biologically-relevant parameters associated with tissue optical scattering and absorption. This model was employed to analyze reflectance spectra acquired from freshly excised human pancreatic pre-cancerous tissues (intraductal papillary mucinous neoplasm (IPMN), a common precursor lesion to pancreatic cancer). Compared to previously reported models, the direct fit model improved fit accuracy and speed. Thus, these results suggest that such models could serve as real-time, quantitative tools to characterize biological tissues assessed with reflectance spectroscopy.

Paper Details

Date Published: 27 February 2014
PDF: 7 pages
Proc. SPIE 8935, Advanced Biomedical and Clinical Diagnostic Systems XII, 893528 (27 February 2014); doi: 10.1117/12.2046980
Show Author Affiliations
Seung Yup Lee, Univ. of Michigan (United States)
William R. Lloyd, Univ. of Michigan (United States)
Robert H. Wilson, Univ. of Michigan (United States)
Malavika Chandra, Univ. of Michigan (United States)
Barbara McKenna, Univ. of Michigan (United States)
Diane Simeone, Univ. of Michigan (United States)
James Scheiman, Univ. of Michigan (United States)
Mary-Ann Mycek, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 8935:
Advanced Biomedical and Clinical Diagnostic Systems XII
Tuan Vo-Dinh; Anita Mahadevan-Jansen; Warren S. Grundfest, Editor(s)

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