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Fast sparse recovery and coherence factor weighting in optoacoustic tomography.

Proc. SPIE 10064:100642N (2017)
Verlagsversion DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Sparse recovery algorithms have shown great potential to reconstruct images with limited view datasets in optoacoustic tomography, with a disadvantage of being computational expensive. In this paper, we improve the fast convergent Split Augmented Lagrangian Shrinkage Algorithm (SALSA) method based on least square QR (LSQR) formulation for performing accelerated reconstructions. Further, coherence factor is calculated to weight the final reconstruction result, which can further reduce artifacts arising in limited-view scenarios and acoustically heterogeneous mediums. Several phantom and biological experiments indicate that the accelerated SALSA method with coherence factor (ASALSA-CF) can provide improved reconstructions and much faster convergence compared to existing sparse recovery methods.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Image Quality Enhancement ; Model-based Reconstruction ; Optoacoustic Tomography ; Sparse Recovery Method
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
Konferenztitel Photons Plus Ultrasound: Imaging and Sensing 2017
Konferzenzdatum 29 January - 1 February 2017
Konferenzort San Francisco, California, United States
Zeitschrift Proceedings of SPIE
Quellenangaben Band: 10064, Heft: , Seiten: , Artikelnummer: 100642N Supplement: ,
Verlag SPIE
Begutachtungsstatus Peer reviewed