Constrained Inversion and Spectral Unmixing in Multispectral Optoacoustic Tomography

Ding L, Dean-Ben XL, Burton NC, Sobol RW, Ntziachristos V, Razansky D (2017)

Publication Type: Journal article

Publication year: 2017

Journal

IEEE Transactions on Medical Imaging Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 36

Pages Range: 1676-1685

Article Number: 7885115

Journal Issue: 8

DOI: 10.1109/TMI.2017.2686006

Abstract

Accurate extraction of physical and biochemical parameters from optoacoustic images is often impeded due to the use of unrigorous inversion schemes, incomplete tomographic detection coverage, or other experimental factors that cannot be readily accounted for during the image acquisition and reconstruction process. For instance, inaccurate assumptions in the physical forward model may lead to negative optical absorption values in the reconstructed images. Any artifacts present in the single wavelength optoacoustic images can be significantly aggravated when performing a two-step reconstruction consisting in acoustic inversion and spectral unmixing aimed at rendering the distributions of spectrally distinct absorbers. We investigate a number of algorithmic strategies with non-negativity constraints imposed at the different phases of the reconstruction process. Performance is evaluated in cross-sectional multispectral optoacoustic tomography recordings from tissue-mimicking phantoms and in vivo mice embedded with varying concentrations of contrast agents. Additional in vivo validation is subsequently performed with molecular imaging data involving subcutaneous tumors labeled with genetically expressed iRFP proteins and organ perfusion by optical contrast agents. It is shown that constrained reconstruction is essential for reducing the critical image artifacts associated with inaccurate modeling assumptions. Furthermore, 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.

Involved external institutions

Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich DE Germany (DE) iThera Medical GmbH DE Germany (DE) University of Pittsburgh US United States (USA) (US)

How to cite

APA:

Ding, L., Dean-Ben, X.L., Burton, N.C., Sobol, R.W., Ntziachristos, V., & Razansky, D. (2017). Constrained Inversion and Spectral Unmixing in Multispectral Optoacoustic Tomography. IEEE Transactions on Medical Imaging, 36(8), 1676-1685. https://dx.doi.org/10.1109/TMI.2017.2686006

MLA:

Ding, Lu, et al. "Constrained Inversion and Spectral Unmixing in Multispectral Optoacoustic Tomography." IEEE Transactions on Medical Imaging 36.8 (2017): 1676-1685.

BibTeX: Download