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|a dc
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|a Ortiz-
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|a Harvard University-
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|a Pardo, Carlos
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|a Pardo, Carlos
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|a Pengo, Thomas S.
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|a Muñoz-Barrutia, Arrate
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|a Pardo, Carlos
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|a Sparse algebraic reconstruction for fluorescence mediated tomography
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|b The International Society for Optical Engineering,
|c 2010-03-18T19:46:53Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/52728
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|a 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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|a Spanish Ministry of Health (project FIS-PI070751)
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|a en_US
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|a Article
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|t Proceedings of SPIE--the International Society for Optical Engineering; v.7446
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