Sparse algebraic reconstruction for fluorescence mediated tomography
Name
Munoz-Barrutia-2009-Sparse algebraic reconstruction for fluorescence mediated tomography.pdf
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Author(s)
Ortiz-de-Solorzano, Carlos
Pengo, Thomas S.
Muñoz-Barrutia, Arrate
Pardo, Carlos
Date Issued
September 2009
Journal
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
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
http://dx.doi.org/10.1117/12.824456
