Paper
6 December 1996 NIR imaging in random media using time domain data
Regina Model, Rolf Huenlich, Matthias Orlt, M. Walzel
Author Affiliations +
Abstract
A reconstruction method based on the diffusion approximation for the light propagation in turbid media and on a minimization strategy is presented. A higher accuracy for the forward simulation and a considerable reduction of the computational effort are reached by solving a partial differential equation for the difference between the time- dependent photon density in an inhomogeneous object and the density in the homogeneous case given by an analytic expression. The calculations are performed by a 2D-FEM algorithm, but considering a time-dependent corrective factor the 3D situation is well approximated. The number of free variables of the inverse problem can be strongly reduced by exploiting a priori information such as the search for single inhomogeneities within a relatively homogeneous object, a typical situation for breast cancer detection.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Regina Model, Rolf Huenlich, Matthias Orlt, and M. Walzel "NIR imaging in random media using time domain data", Proc. SPIE 2925, Photon Propagation in Tissues II, (6 December 1996); https://doi.org/10.1117/12.260829
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Absorption

Diffusion

Chlorine

Optical spheres

3D modeling

Information operations

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