Near-infrared spectroscopic tissue imaging for medical applications
Abstract
Near infrared imaging using elastic light scattering and tissue autofluorescence are explored for medical applications. The approach involves imaging using cross-polarized elastic light scattering and tissue autofluorescence in the Near Infra-Red (NIR) coupled with image processing and inter-image operations to differentiate human tissue components.
- Inventors:
-
- Livermore, CA
- Tracy, CA
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 907979
- Patent Number(s):
- 7149567
- Application Number:
- 11/293,590
- Assignee:
- The Regents of the University of California (Oakland, CA)
- Patent Classifications (CPCs):
-
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- DOE Contract Number:
- W-7405-ENG-48
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES
Citation Formats
Demos, Stavros, and Staggs, Michael C. Near-infrared spectroscopic tissue imaging for medical applications. United States: N. p., 2006.
Web.
Demos, Stavros, & Staggs, Michael C. Near-infrared spectroscopic tissue imaging for medical applications. United States.
Demos, Stavros, and Staggs, Michael C. Tue .
"Near-infrared spectroscopic tissue imaging for medical applications". United States. https://www.osti.gov/servlets/purl/907979.
@article{osti_907979,
title = {Near-infrared spectroscopic tissue imaging for medical applications},
author = {Demos, Stavros and Staggs, Michael C},
abstractNote = {Near infrared imaging using elastic light scattering and tissue autofluorescence are explored for medical applications. The approach involves imaging using cross-polarized elastic light scattering and tissue autofluorescence in the Near Infra-Red (NIR) coupled with image processing and inter-image operations to differentiate human tissue components.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {12}
}
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