Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues

Tzoumas S, Nunes A, Olefir I, Stangl S, Symvoulidis P, Glasl S, Bayer C, Multhoff G, Ntziachristos V (2016)

Publication Type: Journal article

Publication year: 2016

Journal

Nature Communications Nature Publishing Group: Nature Communications

Book Volume: 7

Article Number: 12121

DOI: 10.1038/ncomms12121

Abstract

Light propagating in tissue attains a spectrum that varies with location due to wavelength-dependent fluence attenuation, an effect that causes spectral corruption. Spectral corruption has limited the quantification accuracy of optical and optoacoustic spectroscopic methods, and impeded the goal of imaging blood oxygen saturation (sO 2) deep in tissues; a critical goal for the assessment of oxygenation in physiological processes and disease. Here we describe light fluence in the spectral domain and introduce eigenspectra multispectral optoacoustic tomography (eMSOT) to account for wavelength-dependent light attenuation, and estimate blood sO 2 within deep tissue. We validate eMSOT in simulations, phantoms and animal measurements and spatially resolve sO 2 in muscle and tumours, validating our measurements with histology data. eMSOT shows substantial sO 2 accuracy enhancement over previous optoacoustic methods, potentially serving as a valuable tool for imaging tissue pathophysiology.

Involved external institutions

Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Tzoumas, S., Nunes, A., Olefir, I., Stangl, S., Symvoulidis, P., Glasl, S.,... Ntziachristos, V. (2016). Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues. Nature Communications, 7. https://doi.org/10.1038/ncomms12121

MLA:

Tzoumas, Stratis, et al. "Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues." Nature Communications 7 (2016).

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