A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT)

MultiSpectral Optoacoustic Tomography (MSOT) is an emerging imaging technology that allows for data acquisition at high spatial and temporal resolution. These imaging characteristics are advantageous for Dynamic Contrast Enhanced (DCE) imaging that can assess the combination of vascular flow and per...

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Detalles Bibliográficos
Autores principales: Hupple, Clinton W., Morscher, Stefan, Burton, Neal C., Pagel, Mark D., McNally, Lacey R., Cárdenas-Rodríguez, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033053/
https://www.ncbi.nlm.nih.gov/pubmed/29988890
http://dx.doi.org/10.1016/j.pacs.2018.04.003
Descripción
Sumario:MultiSpectral Optoacoustic Tomography (MSOT) is an emerging imaging technology that allows for data acquisition at high spatial and temporal resolution. These imaging characteristics are advantageous for Dynamic Contrast Enhanced (DCE) imaging that can assess the combination of vascular flow and permeability. However, the quantitative analysis of DCE MSOT data has not been possible due to complications caused by wavelength-dependent light attenuation and variability in light fluence at different anatomical locations. In this work we present a new method for the quantitative analysis of DCE MSOT data that is not biased by light fluence. We have named this method the two-compartment linear standard model (2C-LSM) for DCE MSOT.

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