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TOMOGRAPHY, June 2016, Volume 2, Issue 2:138-145
DOI: 10.18383/j.tom.2016.00148

Optoacoustic Tomography Using Accelerated Sparse Recovery and Coherence Factor Weighting

Hailong He1, Jaya Prakash1, Andreas Buehler1, Vasilis Ntziachristos1

1Institute for Biological and Medical Imaging, Helmholtz Zentrum München, Oberschleißheim, Germany and2Chair for Biological Imaging, Technische Universität München, München, Germany


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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