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

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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