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Optoacoustic tomography using accelerated sparse recovery and coherence factor weighting.

Tomography 2, 138-145 (2016)
Verlagsversion DOI
Open Access Gold
Creative Commons Lizenzvertrag
Sparse recovery algorithms have shown great potential to accurately reconstruct images using limited-view optoacoustic (photoacoustic) tomography data sets, but these are computationally expensive. In this paper, we propose an improvement of the fast converging Split Augmented Lagrangian Shrinkage Algorithm method based on least square QR inversion for improving the reconstruction speed. We further show image fidelity improvement when using a coherence factor to weight the reconstruction result. Phantom and in vivo measurements show that the accelerated Split Augmented Lagrangian Shrinkage Algorithm method with coherence factor weighting offers images with reduced artifacts and provides faster convergence compared with existing sparse recovery algorithms.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
ISSN (print) / ISBN 2379-1381
Zeitschrift Tomography
Quellenangaben Band: 2, Heft: 2, Seiten: 138-145 Artikelnummer: , Supplement: ,
Verlag Grapho Publications
Verlagsort Ann Arbor, Michigan
Begutachtungsstatus Peer reviewed