hybrid multilevel sparse reconstruction for a whole domain bioluminescence tomography using adaptive finite element

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ID: 157634
2013
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Abstract
Quantitative reconstruction of bioluminescent sources from boundary measurements is a challenging ill-posed inverse problem owing to the high degree of absorption and scattering of light through tissue. We present a hybrid multilevel reconstruction scheme by combining the ability of sparse regularization with the advantage of adaptive finite element method. In view of the characteristics of different discretization levels, two different inversion algorithms are employed on the initial coarse mesh and the succeeding ones to strike a balance between stability and efficiency. Numerical experiment results with a digital mouse model demonstrate that the proposed scheme can accurately localize and quantify source distribution while maintaining reconstruction stability and computational economy. The effectiveness of this hybrid reconstruction scheme is further confirmed with in vivo experiments.
Reference Key
yu2013computationalhybrid Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jingjing Yu;Xiaowei He;Guohua Geng;Fang Liu;L. C. Jiao
Journal advanced functional materials
Year 2013
DOI
10.1155/2013/548491
URL
http://dx.doi.org/10.1155/2013/548491
Keywords
medical informatics computer applications to medicine

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