PuSH - Publikationsserver des Helmholtz Zentrums München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
He, H. ; Prakash, J. ; Bühler, A. ; Ntziachristos, V.

Fast sparse recovery and coherence factor weighting in optoacoustic tomography.

Proc. SPIE 10064:100642N (2017)
Postprint DOI
Open Access Green
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.
Impact Factor
Scopus SNIP
Altmetric
0.000
0.384
Tags
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern

Zusatzinfos bearbeiten
Eigene Tags bearbeiten
Privat
Eigene Anmerkung bearbeiten
Privat
Auf Publikationslisten für
Homepage nicht anzeigen
Als besondere Publikation
markieren
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Image Quality Enhancement ; Model-based Reconstruction ; Optoacoustic Tomography ; Sparse Recovery Method
Sprache englisch
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
Konferenztitel Photons Plus Ultrasound: Imaging and Sensing 2017
Konferzenzdatum 29 January - 1 February 2017
Konferenzort San Francisco, California, United States
Zeitschrift Proceedings of SPIE
Quellenangaben Band: 10064, Heft: , Seiten: , Artikelnummer: 100642N Supplement: ,
Verlag SPIE
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505500-001
DOI 10.1117/12.2252501
Scopus ID 85019267335
Erfassungsdatum 2017-06-06
[➜Korrektur melden]