Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues

  title={Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues},
  author={Stratis Tzoumas and Antonio Nunes and Ivan Olefir and Stefan Stangl and Panagiotis Symvoulidis and Sarah Glasl and Christine Bayer and Gabriele Multhoff and Vasilis Ntziachristos},
  journal={Nature Communications},
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… 

Spectral unmixing techniques for optoacoustic imaging of tissue pathophysiology

  • S. TzoumasV. Ntziachristos
  • Mathematics, Physics
    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
  • 2017
Progress with spectral unmixing techniques developed for multispectral optoacoustic tomography is discussed and 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 are explained.

A Bayesian Approach to Eigenspectra Optoacoustic Tomography

A novel Bayesian method is proposed to improve eMSOT performance in noisy environments by introducing a spectral reliability map, i.e., a method that can estimate the level of noise superimposed onto the recorded OA spectra.

Molecular imaging probes for multi-spectral optoacoustic tomography.

New classes of probes are emerging and create new opportunities for visualizing morphological and pathophysiological features in vivo, in a non-invasive manner, and applications and challenges for biological imaging as well as prospects for clinical translation are discussed.

Spectral correction for handheld optoacoustic imaging by means of near‐infrared optical tomography in reflection mode

The results suggest that oxygen saturation (SO 2) levels in arteries can be determined with <10% error and furthermore, that relative changes in vessels' SO 2 can be monitored with even better accuracy.

Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation

A neural network architecture is presented that is able to learn how to solve the inverse problem of eMSOT by directly regressing from a set of input spectra to the desired fluence values, and an ensemble of such networks is trained using solely simulated data.

Deep tissue optoacoustic localization microangiography

Three-dimensional microangiography of deep mouse brain beyond the acoustic diffraction limit is demonstrated through the intact scalp and skull via optoacoustic localization of sparsely-distributed highly absorbing microparticles and it is shown that the detected opto-acoustic signal intensities from the localized particles may serve for estimating the light fluence distribution within optically heterogeneous tissues.

Machine learning enabled multiple illumination quantitative optoacoustic imaging of blood oxygenation in humans

An accurate and practically feasible real-time capable method for quantitative imaging of sO2 based on combining multispectral and multiple illumination OA imaging with learned spectral decoloring (LSD) with highly accurate results in silico and consistently plausible results in vivo is presented.

Photoacoustic tomography of blood oxygenation: A mini review

Constrained Inversion and Spectral Unmixing in Multispectral Optoacoustic Tomography

It is shown that constrained reconstruction is essential for reducing the critical image artifacts associated with inaccurate modeling assumptions, and imposing the non-negativity constraint directly on the unmixed distribution of the probe of interest was found to maintain the most robust and accurate reconstruction performance in all experiments.

Noninvasive three-dimensional optoacoustic localization microangiography of deep tissues

Three-dimensional microangiography of deep mouse brain beyond the acoustic diffraction limit is demonstrated through the intact scalp and skull via optoacoustic localization of sparsely-distributed highly absorbing microparticles, and it is shown that the detected optOacoustic signal intensities from the localized particles may serve for estimating the light fluence distribution within optically heterogeneous tissues, a long-standing quantification challenge in biomedical optics.



Effects of wavelength-dependent fluence attenuation on the noninvasive photoacoustic imaging of hemoglobin oxygen saturation in subcutaneous vasculature in vivo

It is demonstrated in vivo that the difference in sO2 between a typical artery and a typical vein is conserved before and after spectral compensation, regardless of the animal's systemic physiological state.

Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging

Functional photoacoustic microscopy (fPAM) is reported, which provides multiwavelength imaging of optical absorption and permits high spatial resolution beyond this depth limit with a ratio of maximum imaging depth to depth resolution greater than 100.

Volumetric real-time multispectral optoacoustic tomography of biomarkers

A detailed description of the MSOT scanner components, system calibration, selection of image reconstruction algorithms and animal handling is provided, which can be completed within 15–30 min for acquisition of a whole-body multispectral data set from a living mouse.

Simultaneous Molecular and Hypoxia Imaging of Brain Tumors In Vivo Using Spectroscopic Photoacoustic Tomography

A novel noninvasive technology, spectroscopic photoacoustic tomography (SPAT), which offers both strong optical absorption contrast and high ultrasonic spatial resolution, and can potentially lead to better understanding of the interrelationships between hemodynamics and specific biomarkers associated with tumor progression.

Diffuse optics for tissue monitoring and tomography

The theoretical basis for near-infrared or diffuse optical spectroscopy (NIRS or DOS) is developed, and the basic elements of diffuse optical tomography (DOT) are outlined.

The Accuracy of Near Infrared Spectroscopy and Imaging during Focal Changes in Cerebral Hemodynamics

This work used simulations to examine the errors that result when this analysis is applied to focal hemodynamic changes, and performed simultaneous NIRS measurements during a motor task in adult humans and a neonate to evaluate the dependence of the measured changes on detector-probe geometry.

Real-Time Assessment of Tissue Hypoxia In Vivo with Combined Photoacoustics and High-Frequency Ultrasound

Bimodal PA/US imaging can be utilized to reliably detect hypoxic tumor regions in murine tumor models, thus providing the possibility to collect anatomical and functional information on tumor growth and treatment response live in longitudinal preclinical studies.

Advances in real-time multispectral optoacoustic imaging and its applications

A key empowering feature is the development of video-rate multispectral imaging in two and three dimensions, which offers fast, spectral differentiation of distinct photoabsorbing moieties.

Fast Semi-Analytical Model-Based Acoustic Inversion for Quantitative Optoacoustic Tomography

We present a fast model-based inversion algorithm for quantitative 2-D and 3-D optoacoustic tomography. The algorithm is based on an accurate and efficient forward model, which eliminates the need

Optical and Optoacoustic Model-Based Tomography: Theory and current challenges for deep tissue imaging of optical contrast

Light offers a range of interactions with tissue that give rise to an extensive list of methods to sense physical, chemical, or biological processes, and optical imaging is one of these methods.