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Direct characterization and removal of interfering absorption trends in two-layer turbid media
- Source :
- Journal of the Optical Society of America. A, Optics, image science, and vision. 22(9)
- Publication Year :
- 2005
-
Abstract
- We propose a method to isolate absorption trends confined to the lower layer of a two-layer turbid medium, as is desired in near-infrared spectroscopy (NIRS) of cerebral hemodynamics. Several two-layer Monte Carlo simulations of NIRS time series were generated using a physiologically relevant range of optical properties and varying the absorption coefficients due to bottom-layer, top-layer, and/or global fluctuations. Initial results showed that by measuring absorption trends at two source-detector separations and performing a least-squares fit of one to the other, processed signals strongly resemble the simulated bottom-layer absorption properties. Through this approach, it was demonstrated that fitting coefficients can be estimated within less than +/- 2% of the ideal value without any a priori knowledge of the optical properties present in the model. An analytical approximation for the least-squares coefficient provides physical insight into the nature of errors and suggests ways to reduce them.
- Subjects :
- Materials science
Wave propagation
Monte Carlo method
Models, Neurological
Absorption
Optics
Nephelometry and Turbidimetry
Image Interpretation, Computer-Assisted
Spectroscopy, Fourier Transform Infrared
Humans
Computer Simulation
Spectroscopy
Absorption (electromagnetic radiation)
Brain Mapping
Computer simulation
business.industry
Brain
Image Enhancement
Atomic and Molecular Physics, and Optics
Diffuse optical imaging
Electronic, Optical and Magnetic Materials
Characterization (materials science)
Attenuation coefficient
Computer Vision and Pattern Recognition
business
Algorithms
Subjects
Details
- ISSN :
- 10847529
- Volume :
- 22
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Journal of the Optical Society of America. A, Optics, image science, and vision
- Accession number :
- edsair.doi.dedup.....9f138bdbf39bbbd625d01c520974f8a4