Study of dispersion extraction for optical coherence tomography imaging.
dispersion extraction
iterative method
optical coherence tomography
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
13 Feb 2024
13 Feb 2024
Historique:
revised:
24
01
2024
received:
25
12
2023
accepted:
30
01
2024
medline:
13
2
2024
pubmed:
13
2
2024
entrez:
13
2
2024
Statut:
aheadofprint
Résumé
Dispersion mismatch of optical coherence tomography (OCT), caused by inherent dispersion of biological sample, leads to axial resolution degradation and image blurring. However, the dispersion of biological samples may carry characteristic information of itself. Therefore, it is useful and important to extract dispersion as an additional parameter of biological samples. Here, we study and compare five categories of conventional OCT dispersion extraction methods first. The results show that the iterative method has the best accuracy and stability. Furthermore, we propose an improved iterative method, which achieves higher accuracy and stability in simulation compared with conventional methods. Then, the dispersion values of optical glasses are extracted experimentally utilizing the proposed method. The extracted values are consistent well with reference values. Furthermore, we apply the proposed method for extracting the dispersion characteristics of zebrafish eye. With the proposed method, OCT-based analysis of dispersion characteristics could be a powerful tool in clinical practice.
Identifiants
pubmed: 38348513
doi: 10.1002/jbio.202300562
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202300562Subventions
Organisme : National Natural Science Foundation of China
ID : 61975017
Organisme : National Natural Science Foundation of China
ID : 62275018
Organisme : National Natural Science Foundation of China
ID : 61905015
Organisme : Beijing Hospitals Authority Clinical Medicine Development of Special Funding
ID : YGLX202325
Informations de copyright
© 2024 Wiley-VCH GmbH.
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