Cover Image, Volume 1448, Issue 1

Li, Zhongqiang; Zaid, Waleed; Hartzler, Thomas; Ramos, Alexandra; Osborn, Michelle L.; Li, Yanping; Yao, Shaomian; Xu, Jing

doi:10.1111/nyas.14204

Cited by 4 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…10,13 In our previous pilot studies, we demonstrated the feasibility of ICG-NIRF dental imaging based on both a rat model 40,41,44 and human extracted teeth. 42,43 These results showed the promise of using ICG-NIRF dental imaging for crack detection. In our study here, we investigate the effectiveness of ICG-NIRF imaging to detect cracked teeth in the first and second NIR windows and to estimate crack depth from these images.…”

Section: Discussionmentioning

confidence: 79%

“…The imaging platform, as used in our previous studies, 42,43 consists of NIR light sources (785 nm and 1300 nm laser sources) and NIR cameras. A bifurcated optical fiber is connected to the laser sources and is used to guide the laser light to expose the tooth samples.…”

Section: Icg-nirf Dental Imaging Platformmentioning

confidence: 99%

“…The tooth holder was designed to be rotated 360°to observe the full morphological features of the tooth samples, as done in our previous studies. 42,43 The light source used for the first NIR window (700-950 nm) is an NIR laser diode (LD, Turnkey Raman Lasers-785 Series; Ocean Optics, Inc.) with a 785-nm filter (bandpass, Thorlabs, Inc.). The NIR I camera is a Mako U-130B (Allied Vision Technologies GmbH) with an 800-nm filter (longpass lens: 800 nm, Thorlabs, Inc.); this optical setting effectively blocks all the excitation photons from being received by the camera.…”

Section: Icg-nirf Dental Imaging Platformmentioning

confidence: 99%

“…37,38 In our previous research we demonstrated the feasibility of indocyanine green (ICG) for dental imaging in the rat model and human extracted tooth. [39][40][41][42][43][44] We found that ICF-NIR fluorescent (ICG-NIRF) imaging could diagnose several typical diseases in human extracted teeth, such as caries lesions, decay, and insidious caries. 42,43 In particular, we compared ICG-NIRF dental imaging with X-ray imaging.…”

Section: Introductionmentioning

confidence: 99%

“…[39][40][41][42][43][44] We found that ICF-NIR fluorescent (ICG-NIRF) imaging could diagnose several typical diseases in human extracted teeth, such as caries lesions, decay, and insidious caries. 42,43 In particular, we compared ICG-NIRF dental imaging with X-ray imaging. We showed that cracks observed under ICG-NIRF dental imaging in the first (700-950 nm, ICG-NIRF-I) and second (950-1700 nm, ICG-NIRF-II) NIR windows failed to be recognized under X-ray imaging.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Detection and analysis of enamel cracks by ICG‐NIR fluorescence dental imaging

Holamoge

et al. 2020

Annals of the New York Academy of Sciences

Self Cite

View full text Add to dashboard Cite

Cracked teeth are the third most common cause of tooth loss, but there is no reliable imaging tool for the diagnosis of cracks. Here, we demonstrate the feasibility of indocyanine green near‐infrared fluorescence (ICG‐NIRF) dental imaging for the detection of enamel cracks and enamel–dentin cracks in vitro in the first (ICG‐NIRF‐I, 700–950 nm) and second (ICG‐NIRF‐II, 950–1700 nm) imaging windows with transmission excitation light, and compared ICG‐NIRF with conventional NIR illumination‐II (NIRi‐II) and X‐ray imaging. Dentin cracks were detected by CT scan, while most enamel cracks, undetectable under X‐ray imaging, were clearly visible in NIR images. We found that ICG‐NIRF‐II detected cracks more effectively than NIRi‐II, and that light orientation is an important factor for crack detection: an angled exposure obtained better image contrast of cracks than parallel exposure, as it created a shadow under the crack. Crack depth could be evaluated from the crack shadow in ICG‐NIRF and NIRi‐II images; from this shadow we could determine crack depth and discriminate enamel–dentin cracks from craze lines. Cracks could be observed clearly from ICG‐NIRF images with 1‐min ICG tooth immersion, although longer ICG immersion produced images with greater contrast. Overall, our data show that ICG‐NIRF dental imaging is a useful tool for diagnosing cracked teeth at an early stage.

show abstract

Section: Discussionmentioning

confidence: 79%

Section: Icg-nirf Dental Imaging Platformmentioning

confidence: 99%

Section: Icg-nirf Dental Imaging Platformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Detection and analysis of enamel cracks by ICG‐NIR fluorescence dental imaging

Holamoge

et al. 2020

Annals of the New York Academy of Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

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

Hartzler

Ramos

et al. 2020

Journal of Biophotonics

Self Cite

View full text Add to dashboard Cite

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

show abstract

Mouthwash to Deliver Indocyanine Green for Near Infrared Dental Fluorescence Imaging

Holamoge

et al. 2021

IEEE J. Select. Topics Quantum Electron.

View full text Add to dashboard Cite

Cover Image, Volume 1448, Issue 1

Abstract: On the back cover: From Zhongqiang Li et al., “Indocyanine green‐assisted dental imaging in the first and second near‐infrared windows as compared with X‐ray imaging.” https://doi.org/10.1111/nyas.14086.

Cited by 4 publications

References 0 publications

Detection and analysis of enamel cracks by ICG‐NIR fluorescence dental imaging

Detection and analysis of enamel cracks by ICG‐NIR fluorescence dental imaging

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

Mouthwash to Deliver Indocyanine Green for Near Infrared Dental Fluorescence Imaging

Contact Info

Product

Resources

About