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Optoacoustic imaging and tomography: Reconstruction approaches and outstanding challenges in image performance and quantification.

Sensors 13, 7345-7384 (2013)
Verlagsversion Volltext DOI
Open Access Gold
Creative Commons Lizenzvertrag
This paper comprehensively reviews the emerging topic of optoacoustic imaging from the image reconstruction and quantification perspective. Optoacoustic imaging combines highly attractive features, including rich contrast and high versatility in sensing diverse biological targets, excellent spatial resolution not compromised by light scattering, and relatively low cost of implementation. Yet, living objects present a complex target for optoacoustic imaging due to the presence of a highly heterogeneous tissue background in the form of strong spatial variations of scattering and absorption. Extracting quantified information on the actual distribution of tissue chromophores and other biomarkers constitutes therefore a challenging problem. Image quantification is further compromised by some frequently-used approximated inversion formulae. In this review, the currently available optoacoustic image reconstruction and quantification approaches are assessed, including back-projection and model-based inversion algorithms, sparse signal representation, wavelet-based approaches, methods for reduction of acoustic artifacts as well as multi-spectral methods for visualization of tissue bio-markers. Applicability of the different methodologies is further analyzed in the context of real-life performance in small animal and clinical in-vivo imaging scenarios.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Optoacoustic Imaging ; Photoacoustic Tomography ; Image Reconstruction ; Quantification ; Multispectral Optoacoustic Tomography ; Inverse Problem ; Light Transport ; Spectroscopic Imaging; Photoacoustic Computed-tomography ; Frequency-domain Reconstruction ; Optical-absorption Coefficient ; Mean Radon-transform ; In-vivo ; Thermoacoustic Tomography ; Biological Tissues ; High-resolution ; Chromophore Concentrations ; Heterogeneous Media
ISSN (print) / ISBN 1424-8220
e-ISSN 1424-8220
Zeitschrift Sensors
Quellenangaben Band: 13, Heft: 6, Seiten: 7345-7384 Artikelnummer: , Supplement: ,
Verlag MDPI
Begutachtungsstatus Peer reviewed