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Proceedings Paper

NIR imaging in random media using time domain data
Author(s): Regina Model; Rolf Huenlich; Matthias Orlt; M. Walzel
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Paper 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.

Paper Details

Date Published: 6 December 1996
PDF: 12 pages
Proc. SPIE 2925, Photon Propagation in Tissues II, (6 December 1996); doi: 10.1117/12.260829
Show Author Affiliations
Regina Model, Physikalisch-Technische Bundesanstalt (Germany)
Rolf Huenlich, Weierstrasse-Institut (WIAS) (Germany)
Matthias Orlt, Physikalisch-Technische Bundesanstalt (Germany)
M. Walzel, Physikalisch-Technische Bundesanstalt (Germany)

Published in SPIE Proceedings Vol. 2925:
Photon Propagation in Tissues II
David A. Benaron; Britton Chance; Gerhard J. Mueller, Editor(s)

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