Optimal imaging windows of indocyanine green-assisted near-infrared dental imaging with rat model and its comparison to X-ray imaging.

fluorescence dental imaging indocyanine green laser treatment near-infrared optimal imaging window

Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
06 2020
Historique:
received: 19 12 2019
revised: 20 02 2020
accepted: 25 02 2020
pubmed: 29 2 2020
medline: 24 6 2021
entrez: 29 2 2020
Statut: ppublish

Résumé

In this study, we used rat animal model to compare the efficiency of indocyanine green (ICG)-assisted dental near-infrared fluorescence imaging with X-ray imaging, and we optimized the imaging window for both unerupted and erupted molars. The results show that the morphology of the dental structures was observed clearly from ICG-assisted dental images (especially through the endoscope). A better image contrast was easily acquired at the short imaging windows (<10 minutes) for unerupted and erupted molars. For unerupted molars, there is another optimized imaging window (48-96 hours) with a prominent glow-in-the-dark effect: only the molars remain bright. This study also revealed that the laser ablation of dental follicles can disrupt the molar development, and our method is able to efficiently detect laser-treated molars and acquire the precise morphology. Thus, ICG-assisted dental imaging has the potential to be a safer and more efficient imaging modality for the real-time diagnosis of dental diseases.

Identifiants

pubmed: 32109349
doi: 10.1002/jbio.201960232
doi:

Substances chimiques

Indocyanine Green IX6J1063HV

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e201960232

Informations de copyright

© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Auteurs

Zhongqiang Li (Z)

Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, Louisiana.

Thomas Hartzler (T)

Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, Louisiana.

Alexandra Ramos (A)

Department of Comparative Biomedical Science, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana.

Michelle L Osborn (ML)

Department of Comparative Biomedical Science, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana.

Yanping Li (Y)

School of Environment and Sustainability, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

Shaomian Yao (S)

Department of Comparative Biomedical Science, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana.

Jian Xu (J)

Division of Electrical and Computer Engineering, College of Engineering, Louisiana State University, Baton Rouge, Louisiana.

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