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

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

doi:10.1117/12.875290

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

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

Technical University of Munich

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

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Photons Plus Ultrasound
Subtitle of host publication	Imaging and Sensing 2011
DOIs	https://doi.org/10.1117/12.875290
State	Published - 2011
Event	Photons Plus Ultrasound: Imaging and Sensing 2011 - San Francisco, CA, United States Duration: 23 Jan 2011 → 25 Jan 2011

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	7899
ISSN (Print)	1605-7422

Conference

Conference	Photons Plus Ultrasound: Imaging and Sensing 2011
Country/Territory	United States
City	San Francisco, CA
Period	23/01/11 → 25/01/11

Keywords

Blind deconvolution
Fluorescence
Independent component analysis
Molecular imaging
Multispectral imaging
Photoacoustic tomography
Spectral unmixing

Access to Document

10.1117/12.875290

Cite this

Morscher, S., Glatz, J., Deliolanis, N. C., Buehler, A., Razansky, D., & Ntziachristos, V. (2011). Blind spectral unmixing to identify molecular signatures of absorbers in multispectral optoacoustic tomography. In Photons Plus Ultrasound: Imaging and Sensing 2011 Article 78993D (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7899). https://doi.org/10.1117/12.875290

@inproceedings{5a36f92f5677419d9860bcb8e49a1891,

title = "Blind spectral unmixing to identify molecular signatures of absorbers in multispectral optoacoustic tomography",

abstract = "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.",

keywords = "Blind deconvolution, Fluorescence, 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 Daniel Razansky and Vasilis Ntziachristos",

year = "2011",

doi = "10.1117/12.875290",

language = "English",

isbn = "9780819484369",

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

booktitle = "Photons Plus Ultrasound",

note = "Photons Plus Ultrasound: Imaging and Sensing 2011 ; Conference date: 23-01-2011 Through 25-01-2011",

}

Morscher, S, Glatz, J, Deliolanis, NC, Buehler, A, Razansky, D & Ntziachristos, V 2011, Blind spectral unmixing to identify molecular signatures of absorbers in multispectral optoacoustic tomography. in Photons Plus Ultrasound: Imaging and Sensing 2011., 78993D, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7899, Photons Plus Ultrasound: Imaging and Sensing 2011, San Francisco, CA, United States, 23/01/11. https://doi.org/10.1117/12.875290

Blind spectral unmixing to identify molecular signatures of absorbers in multispectral optoacoustic tomography. / Morscher, Stefan; Glatz, Jürgen; Deliolanis, Nikolaos C. et al.
Photons Plus Ultrasound: Imaging and Sensing 2011. 2011. 78993D (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7899).

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

TY - GEN

T1 - Blind spectral unmixing to identify molecular signatures of absorbers in multispectral optoacoustic tomography

AU - Morscher, Stefan

AU - Glatz, Jürgen

AU - Deliolanis, Nikolaos C.

AU - Buehler, Andreas

AU - Razansky, Daniel

AU - Ntziachristos, Vasilis

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Blind deconvolution

KW - Fluorescence

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=79955500578&partnerID=8YFLogxK

U2 - 10.1117/12.875290

DO - 10.1117/12.875290

M3 - Conference contribution

AN - SCOPUS:79955500578

SN - 9780819484369

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

BT - Photons Plus Ultrasound

T2 - Photons Plus Ultrasound: Imaging and Sensing 2011

Y2 - 23 January 2011 through 25 January 2011

ER -

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this