23 March 2017 Fast sparse recovery and coherence factor weighting in optoacoustic tomography
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hailong He, Hailong He, Jaya Prakash, Jaya Prakash, Andreas Buehler, Andreas Buehler, Vasilis Ntziachristos, 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); doi: 10.1117/12.2252501; https://doi.org/10.1117/12.2252501

Back to Top