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

Spectral unmixing using component analysis in multispectral optoacoustic tomography

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

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Molecular Imaging III
DOIs	https://doi.org/10.1117/12.889415
State	Published - 2011
Event	Molecular Imaging III - Munich, Germany Duration: 22 May 2011 → 23 May 2011

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	8089
ISSN (Print)	1605-7422

Conference

Conference	Molecular Imaging III
Country/Territory	Germany
City	Munich
Period	22/05/11 → 23/05/11

Keywords

Blind deconvolution
Independent component analysis
Molecular Imaging
Multispectral Imaging
Photoacoustic tomography
Spectral unmixing

Access to Document

10.1117/12.889415

Cite this

@inproceedings{14e8b4a00be34df5b53095953b6a2288,

title = "Spectral unmixing using component analysis in multispectral optoacoustic tomography",

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.",

keywords = "Blind deconvolution, Independent component analysis, Molecular Imaging, Multispectral Imaging, Photoacoustic tomography, Spectral unmixing",

author = "Stefan Morscher and J{\"u}rgen Glatz and Deliolanis, {Nikolaos C.} and Andreas Buehler and Athanasios Sarantopoulos and Daniel Razansky and Vasilis Ntziachristos",

year = "2011",

doi = "10.1117/12.889415",

language = "English",

isbn = "9780819486868",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

booktitle = "Molecular Imaging III",

note = "Molecular Imaging III ; Conference date: 22-05-2011 Through 23-05-2011",

}

Morscher, S, Glatz, J, Deliolanis, NC, Buehler, A, Sarantopoulos, A, Razansky, D & Ntziachristos, V 2011, Spectral unmixing using component analysis in multispectral optoacoustic tomography. in Molecular Imaging III., 80890R, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8089, Molecular Imaging III, Munich, Germany, 22/05/11. https://doi.org/10.1117/12.889415

Spectral unmixing using component analysis in multispectral optoacoustic tomography. / Morscher, Stefan; Glatz, Jürgen; Deliolanis, Nikolaos C. et al.
Molecular Imaging III. 2011. 80890R (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8089).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Spectral unmixing using component analysis in multispectral optoacoustic tomography

AU - Morscher, Stefan

AU - Glatz, Jürgen

AU - Deliolanis, Nikolaos C.

AU - Buehler, Andreas

AU - Sarantopoulos, Athanasios

AU - Razansky, Daniel

AU - Ntziachristos, Vasilis

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Blind deconvolution

KW - Independent component analysis

KW - Molecular Imaging

KW - Multispectral Imaging

KW - Photoacoustic tomography

KW - Spectral unmixing

UR - http://www.scopus.com/inward/record.url?scp=79960849735&partnerID=8YFLogxK

U2 - 10.1117/12.889415

DO - 10.1117/12.889415

M3 - Conference contribution

AN - SCOPUS:79960849735

SN - 9780819486868

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Molecular Imaging III

T2 - Molecular Imaging III

Y2 - 22 May 2011 through 23 May 2011

ER -

Spectral unmixing using component analysis in multispectral optoacoustic tomography

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this