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Proceedings Paper

Fast sparse recovery and coherence factor weighting in optoacoustic tomography
Author(s): Hailong He; Jaya Prakash; Andreas Buehler; Vasilis Ntziachristos
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Paper Abstract

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.

Paper Details

Date Published: 23 March 2017
PDF: 8 pages
Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100642N (23 March 2017); doi: 10.1117/12.2252501
Show Author Affiliations
Hailong He, Helmholtz Zentrum München GmbH (Germany)
TU München (Germany)
Jaya Prakash, Helmholtz Zentrum München GmbH (Germany)
TU München (Germany)
Andreas Buehler, Helmholtz Zentrum München GmbH (Germany)
TU München (Germany)
Vasilis Ntziachristos, Helmholtz Zentrum München GmbH (Germany)
TU München (Germany)


Published in SPIE Proceedings Vol. 10064:
Photons Plus Ultrasound: Imaging and Sensing 2017
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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