Proceedings Paper
Sparse algebraic reconstruction for fluorescence mediated tomography| Format | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 7446:
Wavelets XIII
Vivek K. Goyal; Manos Papadakis; Dimitri Van De Ville, Editor(s)
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)
Carlos Pardo-Martin, Harvard-MIT Div. of Health Sciences and Technology (United States)
Published in SPIE Proceedings Vol. 7446:
Wavelets XIII
Vivek K. Goyal; Manos Papadakis; Dimitri Van De Ville, Editor(s)
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