Blind source unmixing in multi-spectral optoacoustic tomography.

  title={Blind source unmixing in multi-spectral optoacoustic tomography.},
  author={J{\"u}rgen Glatz and Nikolaos Deliolanis and Andreas Buehler and Daniel Razansky and Vasilis Ntziachristos},
  journal={Optics express},
  volume={19 4},
Multispectral optoacoustic (photoacoustic) tomography (MSOT) is a hybrid modality that can image through several millimeters to centimeters of diffuse tissues, attaining resolutions typical of ultrasound imaging. The method can further identify tissue biomarkers by decomposing the spectral contributions of different photo-absorbing molecules of interest. In this work we investigate the performance of blind source unmixing methods and spectral fitting approaches in decomposing the contributions… 

Figures and Tables from this paper

Spectral unmixing using component analysis in multispectral optoacoustic tomography

Multispectral optoacoustic (photoacoustic) tomography (MSOT) exploits high resolutions given by ultrasound detection technology combined with deeply penetrating laser illumination in the near

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

Multispectral optoacoustic (photoacoustic) tomography (MSOT) exploits the high resolutions provided by ultrasound imaging technology in combination with the more biologically relevant optical

Optical attenuation correction in multispectral optoacoustic tomography with logarithm unmixing

Quantification of extrinsically administered contrast agents in optoacoustic (photoacoustic) tomography is a challenging task, mainly due to spectrally-dependent contributions from absorbing

Unmixing Molecular Agents From Absorbing Tissue in Multispectral Optoacoustic Tomography

It is found that statistical sub-pixel detection methods can demonstrate a unique detection performance with up to five times enhanced sensitivity as compared to linear unmixing approximations, under the condition that the optical agent of interest is sparsely present within the tissue volume, as common when using targeted agents and reporter genes.

Estimation of optoacoustic contrast agent concentration with self-calibration blind logarithmic unmixing

A procedure capable of correcting for wavelength-dependent light fluence variations using a logarithmic representation of the images taken at different wavelengths assisted with a blind unmixing approach is presented.

Multispectral Optoacoustic Tomography—Volumetric Color Hearing in Real Time

  • D. Razansky
  • Physics
    IEEE Journal of Selected Topics in Quantum Electronics
  • 2012
The technical essentials of MSOT are provided, including latest developments in the inverse theory, spectral processing algorithms, and imaging instrumentation, and a separate section is devoted to the state of the art of molecular imaging applications using MSOT.

Multispectral optoacoustic tomography for imaging of disease biomarkers

Multispectral optoacoustic tomography was discovered to enable a number of applications, from the small animal imaging as described in this work, to future clinical translation.

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.

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.

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.



Sensitivity of molecular target detection by multispectral optoacoustic tomography (MSOT).

The authors investigate the detection capacity and physical limits of tomographic optoacoustic imaging by simulating signals originating from absorbing spheres in tissue-mimicking media and employ a modified optOacoustic equation to incorporate wavelength-dependent propagation and attenuation of diffuse light and ultrasound.

Quantitative Optoacoustic Signal Extraction Using Sparse Signal Representation

The method was successfully examined with numerically and experimentally generated data and was found to be ideally suited for practical implementations in tomographic schemes of varying complexity, including multiprojection illumination systems and multispectral optoacoustic tomography studies of tissue biomarkers.

Molecular imaging by means of multispectral optoacoustic tomography (MSOT).

Emerging optoacoustic technologies that allow the visualization of optical reporter agents with never-seen-before visualization performance, enabling volumetric quantitative molecular imaging in entire organs, small animals, or human tissues are reviewed.

In-vivo fluorescence imaging with a multivariate curve resolution spectral unmixing technique.

This work introduces a spectral unmixing algorithm derived from a multivariate curve resolution (MCR) method that automatically finds the signal distribution and the pure spectrum of each component in the raw images and hence provides better quantification and localization for each probe.

Multispectral opto-acoustic tomography of deep-seated fluorescent proteins in vivo

By performing whole-body imaging of two biologically important and optically diffuse model organisms, Drosophila melanogaster pupae and adult zebrafish, the facility to resolve tissue-specific expression of eGFP and mCherrry fluorescent proteins for precise morphological and functional observations in vivo is demonstrated.

Multispectral photoacoustic imaging of fluorochromes in small animals.

It is shown that the depth-resolved distribution of fluorochromes in small animals can be imaged with 25 fmol sensitivity and 150 microm spatial resolution by means of multispectral photoacoustic imaging.

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.

Photoacoustic imaging in biomedicine

Photoacoustic imaging (also called optoacoustic or thermoacoustic imaging) has the potential to image animal or human organs, such as the breast and the brain, with simultaneous high contrast and

Real-time imaging of cardiovascular dynamics and circulating gold nanorods with multispectral optoacoustic tomography.

The application of Multispectral Optoacoustic Tomography techniques to noninvasively image different aspects of the mouse cardiovascular system macroscopically in real-time and in vivo, an unprecedented ability compared to optical or optoac acoustic (photoacoustic) imaging approaches documented so far.

Video rate optoacoustic tomography of mouse kidney perfusion.

The previously undocumented capacity of whole-body optoacoustic tomography at a video rate has been demonstrated by visualizing mouse kidney perfusion using Indocyanine Green in vivo.