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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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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Association of Physicists in Medicine
2008
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| Materias: | |
| Acceso en línea: | 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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