In vivo measurements of the wavelength dependence of tissue-scattering coefficients between 760 and 900 nm measured with time-resolved spectroscopy

1997 ◽  
Vol 36 (1) ◽  
pp. 386 ◽  
Author(s):  
S. J. Matcher ◽  
M. Cope ◽  
D. T. Delpy
Keyword(s):  
Wavelength Dependence ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Scattering Coefficients ◽  
In Vivo Measurements ◽  
Tissue Scattering

scholarly journals MADSTRESS: A Linear Approach for Evaluating Scattering and Absorption Coefficients of Samples Measured Using Time-Resolved Spectroscopy in Reflection

2005 ◽  
Vol 59 (10) ◽  
pp. 1229-1235 ◽  
Author(s):  
F. Chauchard ◽  
J. M. Roger ◽  
V. Bellon-Maurel ◽  
C. Abrahamsson ◽  
S. Andersson-Engels ◽  
...  
Keyword(s):  
Near Infrared ◽  
Sugar Content ◽  
Optimization Techniques ◽  
Evaluation Procedure ◽  
Calibration Model ◽  
Chemical Absorption ◽  
Time Resolved ◽  
Time Resolved Spectroscopy ◽  
Scattering Coefficients ◽  
Interpolation Procedure

Time-resolved spectroscopy is a powerful technique permitting the separation of the scattering properties from the chemical absorption properties of a sample. The reduced scattering coefficient and the absorption coefficient are usually obtained by fitting diffusion or Monte Carlo models to the measured data using numerical optimization techniques. However, these methods do not take the spectral dimension of the data into account during the evaluation procedure, but evaluate each wavelength separately. A procedure involving multivariate methods may seem more appealing for people used to handling conventional near-infrared data. In this study we present a new method for processing TRS spectra in order to compute the absorption and reduced scattering coefficients. This approach, MADSTRESS, is based on linear regression and a two-dimensional (2D) interpolation procedure. The method has allowed us to calculate absorption and scattering coefficients of apples and fructose powder. The accuracy of the method was good enough to provide the identification of fructose absorption peaks in apple absorption spectra and the construction of a calibration model predicting the sugar content of apples.

Broadband time-resolved diffuse optical spectrometer for clinical diagnostics: characterization and in-vivo measurements in the 600-1350 nm spectral range

2015 ◽  
Author(s):  
Sanathana Konugolu Venkata Sekar ◽  
Andrea Farina ◽  
Edoardo Martinenghi ◽  
Alberto Dalla Mora ◽  
Paola Taroni ◽  
...  
Keyword(s):  
Spectral Range ◽  
Clinical Diagnostics ◽  
Time Resolved ◽  
In Vivo Measurements

Broadband Time-Resolved Diffuse Optical Spectrometer for Clinical Diagnostics: Characterization and in-vivo Measurements in the 600-1350 nm spectral range

2015 ◽  
Author(s):  
Sanathana Konugolu Venkata Sekar ◽  
Andrea Farina ◽  
Edoardo Martinenghi ◽  
Alberto Dalla Mora ◽  
Paola Taroni ◽  
...  
Keyword(s):  
Spectral Range ◽  
Clinical Diagnostics ◽  
Time Resolved ◽  
In Vivo Measurements

In vivo time-resolved spectroscopy of the human bronchial early cancer autofluorescence

2009 ◽  
Vol 14 (2) ◽  
pp. 024011 ◽  
Author(s):  
Pascal Uehlinger ◽  
Tanja Gabrecht ◽  
Thomas Glanzmann ◽  
Jean-Pierre Ballini ◽  
Alexandre Radu ◽  
...  
Keyword(s):  
Early Cancer ◽  
Time Resolved ◽  
Time Resolved Spectroscopy

Analysis of Short Pulse Radiation Transport Through Tissues for Tumor Detection

2005 ◽  
Author(s):  
Soumyadipta Basu ◽  
Gopalendu Pal ◽  
Kunal Mitra ◽  
Michael S. Grace
Keyword(s):  
Radiation Transport ◽  
Numerical Study ◽  
Short Pulse ◽  
Optical Detection ◽  
Skin Surface ◽  
Tissue Samples ◽  
Time Resolved ◽  
Detection Scheme ◽  
Scattering Coefficients

The objective of this paper is to perform a comprehensive experimental and numerical study to analyze short pulse laser propagation through animal tissue samples and phantoms with inhomogeneities imbedded in them. Initially a parametric study of different absorption and scattering coefficients of the tissue phantoms and of inhomogeneities imbedded in them, size and location of the inhomogeneities is performed in order to optimize the time resolved optical detection scheme. Tissues can be modeled primarily as having two main layers-skin and the underlying muscle. To study the interaction of light with the tissue layers, experiments are next performed on freshly excised rat tissue samples to validate the time varying optical signatures of rat skin and muscle with the numerical model. The next step is to perform in vivo imaging of anaesthetized rats with tumors injected on the skin as well as below the skin surface in order to test the optical detection scheme. The goal is the detection and characterization of tumors in rats.

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