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Algorithmic depth compensation improves quantification and noise suppression in functional diffuse optical tomography
Accurate depth localization and quantitative recovery of a regional activation are the major challenges in functional diffuse optical tomography (DOT). The photon density drops severely with increased depth, for which conventional DOT reconstruction yields poor depth localization and quantitative re...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Optical Society of America
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018015/ https://www.ncbi.nlm.nih.gov/pubmed/21258479 http://dx.doi.org/10.1364/BOE.1.000441 |