Image reconstruction for random media by diffusion tomography

Regina Model; Rolf Huenlich; Matthias Orlt; M. Walzel

doi:10.1117/12.209991

30 May 1995 Image reconstruction for random media by diffusion tomography

Regina Model, Rolf Huenlich, Matthias Orlt, M. Walzel

Proceedings Volume 2389, Optical Tomography, Photon Migration, and Spectroscopy of Tissue and Model Media: Theory, Human Studies, and Instrumentation; (1995) https://doi.org/10.1117/12.209991
Event: Photonics West '95, 1995, San Jose, CA, United States

Abstract

As mathematical model for the light propagation in highly scattering media, the diffusion equation for the photon density is used. The solution of the forward problem obtained by the finite element method (FEM) is compared with the analytical solution in a rectangle homogeneous domain. The application of a numerical method as the FEM allows to take into account different geometries and various embedded objects. For the inverse imaging problem two reconstruction methods are introduced acting as iterative algorithms based on the FEM forward model. As cost function the l₂-norm of output flux differences for a selected combination of times, detector, and source positions is used. The effectiveness of the image reconstruction method is demonstrated by some instructive examples.

Citation Download Citation

Regina Model, Rolf Huenlich, Matthias Orlt, and M. Walzel "Image reconstruction for random media by diffusion tomography", Proc. SPIE 2389, Optical Tomography, Photon Migration, and Spectroscopy of Tissue and Model Media: Theory, Human Studies, and Instrumentation, (30 May 1995); https://doi.org/10.1117/12.209991

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