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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
13
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pubmed:dateCreated |
2006-10-9
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pubmed:abstractText |
Light scattered from biological tissues can exhibit an inverse power law spectral component. We develop a model based on the Born approximation and von Karman (self-affine) spatial correlation of submicron tissue refractive index to account for this. The model is applied to light scattering spectra obtained from excised esophagi of normal and carcinogen-treated rats. Power law exponents used to fit dysplastic tissue site spectra are significantly smaller than those from normal sites, indicating that changes in tissue self-affinity can serve as a potential biomarker for precancer.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Sep
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pubmed:issn |
0031-9007
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:day |
29
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pubmed:volume |
97
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
138102
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pubmed:dateRevised |
2007-12-3
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pubmed:meshHeading |
pubmed-meshheading:17026078-Algorithms,
pubmed-meshheading:17026078-Animals,
pubmed-meshheading:17026078-Carcinogens,
pubmed-meshheading:17026078-Equipment Design,
pubmed-meshheading:17026078-Esophageal Neoplasms,
pubmed-meshheading:17026078-Esophagus,
pubmed-meshheading:17026078-Humans,
pubmed-meshheading:17026078-Image Interpretation, Computer-Assisted,
pubmed-meshheading:17026078-Light,
pubmed-meshheading:17026078-Mass Screening,
pubmed-meshheading:17026078-Models, Statistical,
pubmed-meshheading:17026078-Neoplasms,
pubmed-meshheading:17026078-Rats,
pubmed-meshheading:17026078-Scattering, Radiation,
pubmed-meshheading:17026078-Tumor Markers, Biological
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pubmed:year |
2006
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pubmed:articleTitle |
Tissue self-affinity and polarized light scattering in the born approximation: a new model for precancer detection.
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pubmed:affiliation |
G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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