Integrated Modeling And Reconstruction With Sparsity Constraints For Fdot

We present a numerical framework for Fluorescence Diffuse Optical Tomography (fDOT) that combines a forward model together with an iterative reconstruction procedure. Using rapid linear solvers, we derived an efficient reconstruction strategy for quadratic regularizers. The method outperforms traditional reconstruction approaches. Starting from quadradic regularization, we then extend the framework to more general L-p constraints. We present reconstruction experiments that confirm the superiority of non-quadratic sparsity promoting regularization.


Published in:
2009 Ieee International Symposium On Biomedical Imaging: From Nano To Macro, Vols 1 And 2, 173-176
Presented at:
IEEE Internaional Symposium on Biomedical Imaging - From Nano to Macro, Boston, MA, Jun 28-Jul 01, 2009
Year:
2009
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
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 Record created 2010-11-30, last modified 2018-10-07

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