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Implementation of a computationally efficient least-squares algorithm for highly under-determined three-dimensional diffuse optical tomography problems

Three-dimensional (3D) diffuse optical tomography is known to be a nonlinear, ill-posed and sometimes under-determined problem, where regularization is added to the minimization to allow convergence to a unique solution. In this work, a generalized least-squares (GLS) minimization method was impleme...

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Détails bibliographiques
Auteurs principaux: Yalavarthy, Phaneendra K., Lynch, Daniel R., Pogue, Brian W., Dehghani, Hamid, Paulsen, Keith D.
Format: Artigo
Langue:Inglês
Publié: American Association of Physicists in Medicine 2008
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC2809727/
https://ncbi.nlm.nih.gov/pubmed/18561643
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.2889778
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