Sparse algebraic reconstruction for fluorescence mediated tomography

Muñoz Barrutia Arrate, Pardo Martin Carlos, Pengo Thomas, Ortiz De Solorzano Carlos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationWavelets XIII
StatePublished - 2009
Externally publishedYes
EventWavelets XIII - San Diego, CA, United States
Duration: Aug 2 2009Aug 4 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherWavelets XIII
Country/TerritoryUnited States
CitySan Diego, CA


  • ALG
  • OPT
  • OT
  • PHT
  • SIM


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