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Proceedings Paper

Sparse algebraic reconstruction for fluorescence mediated tomography
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Paper Abstract

In this paper, we explore the use of anatomical information as a guide in the image formation process of fluorescence molecular tomography (FMT). Namely, anatomical knowledge obtained from high resolution computed tomography (micro-CT) is used to construct a model for the diffusion of light and to constrain the reconstruction to areas candidate to contain fluorescent volumes. Moreover, a sparse regularization term is added to the state-of-the-art least square solution to contribute to the sparsity of the localization. We present results showing the increase in accuracy of the combined system over conventional FMT, for a simulated experiment of lung cancer detection in mice.

Paper Details

Date Published: 4 September 2009
PDF: 10 pages
Proc. SPIE 7446, Wavelets XIII, 744604 (4 September 2009); doi: 10.1117/12.824456
Show Author Affiliations
Arrate Muñoz-Barrutia, Univ. de Navarra (Spain)
Carlos Pardo-Martin, Harvard-MIT Div. of Health Sciences and Technology (United States)
Thomas Pengo, Univ. de Navarra (Spain)
Carlos Ortiz-de-Solorzano, Univ. de Navarra (Spain)

Published in SPIE Proceedings Vol. 7446:
Wavelets XIII
Vivek K. Goyal; Manos Papadakis; Dimitri Van De Ville, Editor(s)

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