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Fast sparse recovery and coherence factor weighting in optoacoustic tomography.
Proc. SPIE 10064:100642N (2017)
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.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Image Quality Enhancement ; Model-based Reconstruction ; Optoacoustic Tomography ; Sparse Recovery Method
Language
english
Publication Year
2017
HGF-reported in Year
2017
ISSN (print) / ISBN
0277-786X
e-ISSN
1996-756X
Conference Title
Photons Plus Ultrasound: Imaging and Sensing 2017
Conference Date
29 January - 1 February 2017
Conference Location
San Francisco, California, United States
Journal
Proceedings of SPIE
Quellenangaben
Volume: 10064,
Article Number: 100642N
Publisher
SPIE
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
Scopus ID
85019267335
Erfassungsdatum
2017-06-06