Fast sparse recovery and coherence factor weighting in optoacoustic tomography

Hailong He; Jaya Prakash; Andreas Buehler; Vasilis Ntziachristos

doi:10.1117/12.2252501

23 March 2017 Fast sparse recovery and coherence factor weighting in optoacoustic tomography

Hailong He, Jaya Prakash, Andreas Buehler, Vasilis Ntziachristos

Proceedings Volume 10064, Photons Plus Ultrasound: Imaging and Sensing 2017; 100642N (2017) https://doi.org/10.1117/12.2252501
Event: SPIE BiOS, 2017, San Francisco, California, United States

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.

Citation Download Citation

Hailong He, Jaya Prakash, Andreas Buehler, and Vasilis Ntziachristos "Fast sparse recovery and coherence factor weighting in optoacoustic tomography", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100642N (23 March 2017); https://doi.org/10.1117/12.2252501

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