| Zugriffsnummer | 29944 |
| Dokumenttyp | Konferenzartikel |
| Sprache | Englisch |
| Titel | NIR imaging in random media using time domain data |
| Autor(in); Institution |
Model, Regine; 10.31, Softwarequalitätssicherung, PTB-Berlin
Hünlich, R.; Weierstrass Institut for Applied Analysis and Stochastics, Berlin, GERMANY
Orlt, Matthias; 10.31, Softwarequalitätssicherung, PTB-Berlin
Walzel, Monika; 10.31, Softwarequalitätssicherung, PTB-Berlin
|
| Quelle/Jahr | Proceedings of Photon Propagation in Tissues II:(1996), 77 - 88 |
| Schriftenreihe | Proceedings of SPIE: 2925 |
| Herausgeber(in) |
Benaron, David A.
Chance, Britton
Müller, Gerhard J.
|
| ISSN | 0277-786X |
| ISBN | 0-8194-2327-0 |
| DOI | |
| URL | |
| Verlag | Bellingham, Wash.: SPIE |
| Konferenzangaben | Conference on Photon Propagation in Tissues, Vienna, 7-8, September, 1996, Austria |
| Freie Schlagworte | Breast cancer ; Diffusion ; Finite element methods ; Inverse problems ; Near infrared ; Partial differential equations ; Photons ; Simulations |
| Zusammenfassung | 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. |
