Spectral unmixing using component analysis in multispectral optoacoustic tomography

Stefan Morscher; Jürgen Glatz; Nikolaos C. Deliolanis; Andreas Buehler; Athanasios Sarantopoulos; Daniel Razansky; Vasilis Ntziachristos

doi:10.1117/12.889415

20 June 2011 Spectral unmixing using component analysis in multispectral optoacoustic tomography

Stefan Morscher, Jürgen Glatz, Nikolaos C. Deliolanis, Andreas Buehler, Athanasios Sarantopoulos, Daniel Razansky, Vasilis Ntziachristos

Author Affiliations +

Proceedings Volume 8089, Molecular Imaging III; 80890R (2011) https://doi.org/10.1117/12.889415
Event: European Conferences on Biomedical Optics, 2011, Munich, Germany

Abstract

Multispectral optoacoustic (photoacoustic) tomography (MSOT) exploits high resolutions given by ultrasound detection technology combined with deeply penetrating laser illumination in the near infrared. 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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Stefan Morscher, Jürgen Glatz, Nikolaos C. Deliolanis, Andreas Buehler, Athanasios Sarantopoulos, Daniel Razansky, and Vasilis Ntziachristos "Spectral unmixing using component analysis in multispectral optoacoustic tomography", Proc. SPIE 8089, Molecular Imaging III, 80890R (20 June 2011); https://doi.org/10.1117/12.889415

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