Sparse algebraic reconstruction for fluorescence mediated tomography

• Main Authors: Ortiz- (Author), Pengo, Thomas S. (Author), Muñoz-Barrutia, Arrate (Author), Pardo, Carlos (Contributor)
• Other Authors: Harvard University- (Contributor)
• Format: Article
• Language: English
• Published: The International Society for Optical Engineering, 2010-03-18T19:46:53Z.
• Subjects: Article
• Online Access: Get fulltext

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.
Spanish Ministry of Health (project FIS-PI070751)