Startseite
English
Erweiterte Suche
Durchblättern nach ...
Publikationen im Überblick
Ansprechpartner
Hilfe
Postprint
DOI
 |
Open Access Green |
möglich sobald bei der ZB eingereicht worden ist.
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.
Altmetric
Weitere Metriken?
Zusatzinfos bearbeiten
[➜Einloggen]
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Image Quality Enhancement ; Model-based Reconstruction ; Optoacoustic Tomography ; Sparse Recovery Method
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,
Artikelnummer: 100642N
Verlag
SPIE
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed