Fast sparse recovery and coherence factor weighting in optoacoustic tomography

Hailong He, Jaya Prakash, Andreas Buehler, Vasilis Ntziachristos

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

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.

OriginalspracheEnglisch
TitelPhotons Plus Ultrasound
UntertitelImaging and Sensing 2017
Redakteure/-innenAlexander A. Oraevsky, Lihong V. Wang
Herausgeber (Verlag)SPIE
ISBN (elektronisch)9781510605695
DOIs
PublikationsstatusVeröffentlicht - 2017
VeranstaltungPhotons Plus Ultrasound: Imaging and Sensing 2017 - San Francisco, USA/Vereinigte Staaten
Dauer: 29 Jan. 20171 Feb. 2017

Publikationsreihe

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Band10064
ISSN (Print)1605-7422

Konferenz

KonferenzPhotons Plus Ultrasound: Imaging and Sensing 2017
Land/GebietUSA/Vereinigte Staaten
OrtSan Francisco
Zeitraum29/01/171/02/17

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