Evaluation of a segmentation-based reconstruction scheme for fluorescence-enhanced diffusion optical tomography

A. Da Silva; J. Boutet; A. Planat-Chretien; J.-M. Dinten; A. Gliere

doi:10.1117/12.632884

7 October 2005 Evaluation of a segmentation-based reconstruction scheme for fluorescence-enhanced diffuse optical tomography

A. Da Silva, J. Boutet, A. Planat-Chretien, J.-M. Dinten, A. Gliere

Author Affiliations +

Proceedings Volume 5859, Photon Migration and Diffuse-Light Imaging II; 58591L (2005) https://doi.org/10.1117/12.632884
Event: European Conferences on Biomedical Optics 2005, 2005, Munich, Germany

Abstract

In the framework of Fluorescence-enhanced Diffuse Optical Tomography, a numerical approach (usually the Finite Element Method) is often required because of the complexity of the geometry of the diffusing systems studied. This approach is appropriate for handling problems modelled by elliptic coupled partial differential equations but is known to be time and memory consuming. The resolution of the adjoint problem considerably speeds up the treatment and allows a full 3D resolution. Nevertheless, because of the ill-posedness of the problem, the reconstruction scheme is sensitive to a priori knowledge on the parameters to be reconstructed. In the present work, a multiple step, self-regularized, reconstruction algorithm for the spatial distribution of the fluorescent regions is presented. The prior knowledge of the regions of interest is introduced via a segmentation. This one is performed on the results obtained with a first rough reconstruction. The results are then refined along iterations of the segmentation/reconstruction scheme. The technique is tested on experiments performed with a home made tomographer. A phantom study is presented.

Citation Download Citation

A. Da Silva, J. Boutet, A. Planat-Chretien, J.-M. Dinten, and A. Gliere "Evaluation of a segmentation-based reconstruction scheme for fluorescence-enhanced diffuse optical tomography", Proc. SPIE 5859, Photon Migration and Diffuse-Light Imaging II, 58591L (7 October 2005); https://doi.org/10.1117/12.632884

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