Biological tissue is non-homogeneous in nature. It is difficult to measure its optical properties due to non-uniformity throughout the tissue being tested. To obtain the spatial distribution of optical parameters, conventional approaches use an array of light sources and detectors to reconstruct the image, thus, there is very limited spatial resolution. In contrast, solutions that provide high resolution have a high computational complexity. In this paper, we propose a fast, simple scheme to resolve the effective attenuation profile from the spatial diffuse reflectance. Rather than giving one single value for the absorption and reduced scattering coefficients, a novel algorithm is proposed for the reconstruction of an effective attenuation profile in 2-dimension from a diffuse reflectance curve. This technique is applied to the reconstruction of a 2-D effective attenuation profile. By obtaining the diffuse reflectance image from a camera and using the algorithm developed here, fast imaging of the effective attenuation profile with relatively high spatial resolution can be achieved.
Optical properties of biological tissue such as reduced scattering and absorption coefficients can be determined from the
temporal or spatial reflectance curve of the diffusion process. Owing to its non-homogenous nature, the assumption of
uniform optical parameters may not be valid in practice. We propose a new scheme to resolve the optical effective
attenuation profile from the spatial reflectance curve of a non-homogeneous tissue. The algorithm reconstructs the linear
attenuation profile along the line of measurement, rather than giving one single value for the coefficient for each
reflectance curve. The technique was applied to the reconstruction of a 2-dimensional attenuation image.
We propose and demonstrate the use of 10-Gb/s inverse-RZ data as downstream signal in WDM-PON to injection-lock a directly modulated Fabry-Perot laser used for the upstream signal at 1Gb/s.
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