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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Bibliographic Details
Published inPhotoacoustics (Munich) Vol. 10; pp. 54 - 64
Main Authors Hupple, Clinton W., Morscher, Stefan, Burton, Neal C., Pagel, Mark D., McNally, Lacey R., Cárdenas-Rodríguez, Julio
Format Journal Article
LanguageEnglish
Published Germany Elsevier GmbH 01.06.2018
Elsevier
Subjects
Dynamic contrast enhanced imaging
Linear models
Multispectral optoacoustic tomography
Permeability
Pharmacokinetics models
Pharmacokinetics models
Multispectral optoacoustic tomography
Dynamic contrast enhanced imaging
Permeability
Linear models
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Summary: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.
ISSN:2213-5979
2213-5979
DOI:10.1016/j.pacs.2018.04.003