Quantitative comparison of frequency-domain and delay-and-sum optoacoustic image reconstruction including the effect of coherence factor weighting.

In-vivo Lateral resolution Optoacoustic microscopy Photoacoustic Synthetic aperture focusing technique

Journal

Photoacoustics
ISSN: 2213-5979
Titre abrégé: Photoacoustics
Pays: Germany
ID NLM: 101622604

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 18 06 2019
revised: 08 10 2019
accepted: 04 11 2019
entrez: 1 1 2020
pubmed: 1 1 2020
medline: 1 1 2020
Statut: epublish

Résumé

Image reconstruction in optoacoustic imaging is often based on a delay-and-sum (DAS) or a frequency domain (FD) algorithm. In this study, we performed a comprehensive comparison of these two algorithms together with coherence factor (CF) weighting using phantom and in-vivo mouse data obtained with optoacoustic microscopy. For this purpose we developed an FD based definition of the CF. Our results reveal the equivalence of DAS and FD, with and without CF weighting, in terms of spatial resolution and contrast-to-noise ratio (CNR) but highlight the clear advantage of FD in terms of computational cost, making it preferable for 3D reconstruction or real-time applications. An important additional result of this research is that, contradictory to previous studies, CF weighting does not lead to any improvement in lateral resolution.

Identifiants

pubmed: 31890564
doi: 10.1016/j.pacs.2019.100149
pii: S2213-5979(19)30072-2
pii: 100149
pmc: PMC6928282
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100149

Informations de copyright

© 2019 The Author(s).

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Auteurs

Florentin Spadin (F)

Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.

Michael Jaeger (M)

Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.

Robert Nuster (R)

Institute of Physics, Karl-Franzens-University Graz, Austria.

Pavel Subochev (P)

Institute of Applied Physics RAS, Nizhny Novgorod, Russia.

Martin Frenz (M)

Institute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012 Bern, Switzerland.

Classifications MeSH