Sparse algebraic reconstruction for fluorescence mediated tomography
Author(s)
Ortiz-de-Solorzano, Carlos; Pengo, Thomas S.; Muñoz-Barrutia, Arrate; Pardo, Carlos
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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.
Date issued
2009-09Department
Harvard University--MIT Division of Health Sciences and TechnologyJournal
Proceedings of SPIE--the International Society for Optical Engineering; v.7446
Publisher
The International Society for Optical Engineering
Citation
Munoz-Barrutia, Arrate et al. “Sparse algebraic reconstruction for fluorescence mediated tomography.” Wavelets XIII. Ed. Vivek K. Goyal, Manos Papadakis, & Dimitri Van De Ville. San Diego, CA, USA: SPIE, 2009. 744604-10. © 2009 SPIE--The International Society for Optical Engineering
Version: Final published version
ISSN
0277-786X