Phase unwrapping based on a residual en-decoder network for phase images in Fourier domain Doppler optical coherence tomography.
Journal
Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630
Informations de publication
Date de publication:
01 Apr 2020
01 Apr 2020
Historique:
received:
16
12
2019
revised:
19
02
2020
accepted:
27
02
2020
entrez:
29
4
2020
pubmed:
29
4
2020
medline:
29
4
2020
Statut:
epublish
Résumé
To solve the phase unwrapping problem for phase images in Fourier domain Doppler optical coherence tomography (DOCT), we propose a deep learning-based residual en-decoder network (REDN) method. In our approach, we reformulate the definition for obtaining the true phase as obtaining an integer multiple of 2
Identifiants
pubmed: 32341846
doi: 10.1364/BOE.386101
pii: 386101
pmc: PMC7173896
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1760-1771Informations de copyright
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
Déclaration de conflit d'intérêts
The authors declare that there are no conflicts of interest.
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