Fast sparse recovery and coherence factor weighting in optoacoustic tomography
He H, Prakash J, Buehler A, Ntziachristos V (2017)
Publication Type: Conference contribution
Publication year: 2017
Journal
Publisher: SPIE
Book Volume: 10064
Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Event location: San Francisco, CA, USA
ISBN: 9781510605695
DOI: 10.1117/12.2252501
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.
Involved external institutions
Germany (DE)How to cite
APA:
He, H., Prakash, J., Buehler, A., & Ntziachristos, V. (2017). Fast sparse recovery and coherence factor weighting in optoacoustic tomography. In Alexander A. Oraevsky, Lihong V. Wang (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Francisco, CA, USA: SPIE.
MLA:
He, Hailong, et al. "Fast sparse recovery and coherence factor weighting in optoacoustic tomography." Proceedings of the Photons Plus Ultrasound: Imaging and Sensing 2017, San Francisco, CA, USA Ed. Alexander A. Oraevsky, Lihong V. Wang, SPIE, 2017.
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