Models of light propagation in human tissue applied to cancer diagnostics.

Abstract:

:Optical methods such as reflectance and fluorescence spectroscopy are being investigated for their potential to aid cancer detection in a quantitative, minimally invasive manner. Mathematical models of reflectance and fluorescence provide an important link between measured optical data and biomedically-relevant tissue parameters that can be extracted from these data to characterize the presence or absence of disease. The most commonly-used mathematical models in biomedical optics are the diffusion approximation (DA) to the radiative transfer equation, Monte Carlo (MC) computational models of light transport, and semi-empirical models. This paper presents a review of the applications of these models to reflectance and endogenous fluorescence sensing for cancer diagnostics in human tissues. Specific examples are given for cervical, breast, and pancreatic tissues. A comparison of the DA and MC methods in two biologically-relevant regimes of optical parameter space will also be discussed.

authors

Wilson RH,Mycek MA

doi

10.7785/tcrt.2012.500187

subject

Has Abstract

pub_date

2011-04-01 00:00:00

pages

121-34

issue

2

eissn

1533-0346

issn

1533-0338

pii

c4313/Models-of-Light-Propagation-in-Human-Tissue-

journal_volume

10

pub_type

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