Quantitative principal component model for skin chromophore mapping using multi-spectral images and spatial priors

We describe a novel reconstruction algorithm based on Principal Component Analysis (PCA) applied to multi-spectral imaging data. Using numerical phantoms, based on a two layered skin model developed previously, we found analytical expressions, which convert qualitative PCA results into quantitative...

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Detalhes bibliográficos
Main Authors: Kainerstorfer, Jana M., Riley, Jason D., Ehler, Martin, Najafizadeh, Laleh, Amyot, Franck, Hassan, Moinuddin, Pursley, Randall, Demos, Stavros G., Chernomordik, Victor, Pircher, Michael, Smith, Paul D., Hitzenberger, Christoph K., Gandjbakhche, Amir H.
Formato: Artigo
Idioma:Inglês
Publicado em: Optical Society of America 2011
Assuntos:
Image Reconstruction and Inverse Problems
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3087563/
https://ncbi.nlm.nih.gov/pubmed/21559118
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.2.001040
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