Sparse algebraic reconstruction for fluorescence mediated tomography

Arrate Muñoz-Barrutia; Carlos Pardo-Martin; Thomas Pengo; Carlos Ortiz-de-Solorzano

doi:10.1117/12.824456

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4 September 2009 Sparse algebraic reconstruction for fluorescence mediated tomography

Arrate Muñoz-Barrutia, Carlos Pardo-Martin, Thomas Pengo, Carlos Ortiz-de-Solorzano

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Proceedings Volume 7446, Wavelets XIII; 744604 (2009) https://doi.org/10.1117/12.824456
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

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.

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Arrate Muñoz-Barrutia, Carlos Pardo-Martin, Thomas Pengo, and Carlos Ortiz-de-Solorzano "Sparse algebraic reconstruction for fluorescence mediated tomography", Proc. SPIE 7446, Wavelets XIII, 744604 (4 September 2009); https://doi.org/10.1117/12.824456

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