A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT)
Autor: | Lacey R. McNally, Neal C. Burton, Mark D. Pagel, Julio Cárdenas-Rodríguez, Clinton Hupple, Stefan Morscher |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Materials science
Multispectral image lcsh:QC221-246 01 natural sciences Fluence Permeability 030218 nuclear medicine & medical imaging 010309 optics 03 medical and health sciences 0302 clinical medicine Data acquisition 0103 physical sciences lcsh:QC350-467 Radiology Nuclear Medicine and imaging skin and connective tissue diseases Dynamic contrast enhanced imaging Atomic and Molecular Physics and Optics lcsh:QC1-999 Dynamic contrast Multispectral optoacoustic tomography Temporal resolution lcsh:Acoustics. Sound Imaging technology Tomography Linear models Quantitative analysis (chemistry) Pharmacokinetics models lcsh:Physics lcsh:Optics. Light Biomedical engineering Research Article |
Zdroj: | Photoacoustics, Vol 10, Iss, Pp 54-64 (2018) Photoacoustics |
ISSN: | 2213-5979 |
Popis: | 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. Keywords: Dynamic contrast enhanced imaging, Multispectral optoacoustic tomography, Pharmacokinetics models, Linear models, Permeability |
Databáze: | OpenAIRE |
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