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Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues

Stratis Tzoumas, Antonio Nunes, Ivan Olefir, Stefan Stangl, Panagiotis Symvoulidis, Sarah Glasl, Christine Bayer, Gabriele Multhoff and Vasilis Ntziachristos ()
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Stratis Tzoumas: Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München
Antonio Nunes: Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München
Ivan Olefir: Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München
Stefan Stangl: Klinikum rechts der Isar, Technische Universität München
Panagiotis Symvoulidis: Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München
Sarah Glasl: Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München
Christine Bayer: Klinikum rechts der Isar, Technische Universität München
Gabriele Multhoff: Klinikum rechts der Isar, Technische Universität München
Vasilis Ntziachristos: Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München

Nature Communications, 2016, vol. 7, issue 1, 1-10

Abstract: 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 (sO2) 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 sO2 within deep tissue. We validate eMSOT in simulations, phantoms and animal measurements and spatially resolve sO2 in muscle and tumours, validating our measurements with histology data. eMSOT shows substantial sO2 accuracy enhancement over previous optoacoustic methods, potentially serving as a valuable tool for imaging tissue pathophysiology.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12121

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DOI: 10.1038/ncomms12121

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