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Optoacoustic tomography using accelerated sparse recovery and coherence factor weighting.
Tomography 2, 138-145 (2016)
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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Publication type
Article: Journal article
Document type
Scientific Article
Language
english
Publication Year
2016
HGF-reported in Year
0
ISSN (print) / ISBN
2379-1381
Journal
Tomography
Quellenangaben
Volume: 2,
Issue: 2,
Pages: 138-145
Publisher
Grapho Publications
Publishing Place
Ann Arbor, Michigan
Reviewing status
Peer reviewed
Institute(s)
Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-505500-001
Erfassungsdatum
2016-07-20