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Tzoumas, S.* ; Ntziachristos, V.

Spectral unmixing techniques for optoacoustic imaging of tissue pathophysiology.

Philos. Trans. R. Soc. A - Math. Phys. Eng. Sci. 375:20170262 (2017)
Verlagsversion DOI PMC
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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
A key feature of optoacoustic imaging is the ability to illuminate tissue at multiple wavelengths and therefore record images with a spectral dimension. While optoacoustic images at single wavelengths reveal morphological features, in analogy to ultrasound imaging or X-ray imaging, spectral imaging concedes sensing of intrinsic chromophores and externally administered agents that can reveal physiological, cellular and subcellular functions. Nevertheless, identification of spectral moieties within images obtained at multiple wavelengths requires spectral unmixing techniques, which present a unique mathematical problem given the three-dimensional nature of the optoacoustic images. Herein we discuss progress with spectral unmixing techniques developed for multispectral optoacoustic tomography. We explain how different techniques are required for accurate sensing of intrinsic tissue chromophores such as oxygenated and deoxygenated haemoglobin versus extrinsically administered photo-absorbing agents and nanoparticles. Finally, we review recent developments that allow accurate quantification of blood oxygen saturation (sO2) by transforming and solving the sO2 estimation problem from the spatial to the spectral domain.This article is part of the themed issue 'Challenges for chemistry in molecular imaging'.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Korrespondenzautor
Schlagwörter Multispectral Optoacoustic Imaging ; Spectral Unmixing ; Spectroscopic Photoacoustic Imaging; Tomography; Inversion; Deep
ISSN (print) / ISBN 1364-503X
e-ISSN 1471-2962
Quellenangaben Band: 375, Heft: 2107, Seiten: , Artikelnummer: 20170262 Supplement: ,
Verlag Royal Society of London
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed