Photon-tissue interaction model for quantitative assessment of biological tissues

Seung Yup Lee; William R. Lloyd; Robert H. Wilson; Malavika Chandra; Barbara McKenna; Diane Simeone; James Scheiman; Mary-Ann Mycek

doi:10.1117/12.2046980

27 February 2014 Photon-tissue interaction model for quantitative assessment of biological tissues

Seung Yup Lee, William R. Lloyd, Robert H. Wilson, Malavika Chandra, Barbara McKenna, Diane Simeone, James Scheiman, Mary-Ann Mycek

Author Affiliations +

Proceedings Volume 8935, Advanced Biomedical and Clinical Diagnostic Systems XII; 893528 (2014) https://doi.org/10.1117/12.2046980
Event: SPIE BiOS, 2014, San Francisco, California, United States

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.

Citation Download Citation

Seung Yup Lee, William R. Lloyd, Robert H. Wilson, Malavika Chandra, Barbara McKenna, Diane Simeone, James Scheiman, and Mary-Ann Mycek "Photon-tissue interaction model for quantitative assessment of biological tissues", Proc. SPIE 8935, Advanced Biomedical and Clinical Diagnostic Systems XII, 893528 (27 February 2014); https://doi.org/10.1117/12.2046980

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