Cargando…
Singular value decomposition based regularization prior to spectral mixing improves crosstalk in dynamic imaging using spectral diffuse optical tomography
The spectrally constrained diffuse optical tomography (DOT) method relies on incorporating spectral prior information directly into the image reconstruction algorithm, thereby correlating the underlying optical properties across multiple wavelengths. Although this method has been shown to provide a...
Autores principales: | Zhan, Yuxuan, Eggebrecht, Adam T., Culver, Joseph P., Dehghani, Hamid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447547/ https://www.ncbi.nlm.nih.gov/pubmed/23024899 http://dx.doi.org/10.1364/BOE.3.002036 |
Ejemplares similares
-
Singular value decomposition metrics show limitations of detector design in diffuse fluorescence tomography
por: Leblond, Frederic, et al.
Publicado: (2010) -
Hierarchical Bayesian regularization of reconstructions for diffuse optical tomography using multiple priors
por: Abdelnour, Farras, et al.
Publicado: (2010) -
Quantitative principal component model for skin chromophore mapping using multi-spectral images and spatial priors
por: Kainerstorfer, Jana M., et al.
Publicado: (2011) -
Sparsity based denoising of spectral domain optical coherence tomography images
por: Fang, Leyuan, et al.
Publicado: (2012) -
Image reconstruction from nonuniformly spaced samples in spectral-domain optical coherence tomography
por: Ke, Jun, et al.
Publicado: (2012)