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Blind spectral unmixing to identify molecular signatures of absorbers in multispectral optoacoustic tomography.

Proc. SPIE 7899:78993D (2011)
Publ. Version/Full Text DOI
Open Access Green as soon as Postprint is submitted to ZB.
Multispectral optoacoustic (photoacoustic) tomography (MSOT) exploits the high resolutions provided by ultrasound imaging technology in combination with the more biologically relevant optical absorption contrast. Traces of molecules with different spectral absorption profiles, such as blood (oxy- and de-oxygenated) and biomarkers can be recovered using multiple wavelengths excitation and a set of methods described in this work. Three unmixing methods are examined for their performance in decomposing images into components in order to locate fluorescent contrast agents in deep tissue in mice. Following earlier works we find Independent Component Analysis (ICA), which relies on the strong criterion of statistical independence of components, as the most promising approach, being able to clearly identify concentrations that other approaches fail to see. The results are verified by cryosectioning and fluorescence imaging.
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Publication type Article: Journal article
Document type Scientific Article
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
Conference Title Photons Plus Ultrasound: Imaging and Sensing 2011
Conference Date January 22, 2011
Conference Location San Francisco, California, USA
Quellenangaben Volume: 7899, Issue: , Pages: , Article Number: 78993D Supplement: ,
Publisher SPIE
Reviewing status Peer reviewed