Interactive OCT-Based Tooth Scan and Reconstruction

Lai, Yu‐Chi; Lin, Jin-Yang; Yao, Chih‐Yuan; Lyu, Dong-Yuan; Lee, Shyh Yuan; Chen, Kuo-Wei; Chen, I-Yu

doi:10.3390/s19194234

Cited by 5 publications

(13 citation statements)

References 19 publications

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“…However, their analysis required manual image processing and tissue labeling. Although Lai et al [24] applied OCT to reconstruct the dental surface, they did not aim at periodontal inspection. Our work takes advantages of OCT's gum penetrative abilities for periodontal inspection without pain while being able to be applied frequently.…”

Section: Related Workmentioning

confidence: 99%

“…This can provide a better depth profile while using less scanning time. Traditionally, this technology is applied for eye examination [32], while Ortman et al [6] introduced it for alveolar inspection, and Lai et al [24] used it for tooth scanning and reconstruction. This work uses the hardware described by Lai et al [24] for gum penetrative inspection of periodontal states as shown in the left of Figure 1.…”

Section: Swept Source Optical Coherent Tomographymentioning

confidence: 99%

“…Figure 2. After applying the OCT scanner and signal processing [24], we can gain 3D cross-sectional volumetric interference data. Our system first applies optical rectification and intensity quantization to process the volumetric data.…”

Section: Overviewmentioning

confidence: 99%

“…Figure 2 illustrates our entire inspection process. After applying the OCT scanner [24] to gain the spatial interference patterns of various frequencies, we could use fast Fourier transform to reconstruct a 3D cross-sectional volume for the target region. Our system applied the hybrid optical rectification [24] of traditional camera calibration and Thin-Plate Spline (TPS) to correct the lens distortions.…”

Section: Overviewmentioning

confidence: 99%

“…After applying the OCT scanner [24] to gain the spatial interference patterns of various frequencies, we could use fast Fourier transform to reconstruct a 3D cross-sectional volume for the target region. Our system applied the hybrid optical rectification [24] of traditional camera calibration and Thin-Plate Spline (TPS) to correct the lens distortions. Since newly available deep networks [36][37][38] proved their ability to identify various regions from noisy images, our system adapted a deep network, the OCT net, to locate the gumline automatically, i.e., the gingiva-tooth boundary, and alveolar line, i.e., the gingiva-alveolar boundary, from the amplitude projection and slices of the scanning volume, respectively.…”

Section: Overviewmentioning

confidence: 99%

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OCT-Based Periodontal Inspection Framework

Lai

Chiu

Cai

et al. 2019

Sensors

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Periodontal diagnosis requires discovery of the relations among teeth, gingiva (i.e., gums), and alveolar bones, but alveolar bones are inside gingiva and not visible for inspection. Traditional probe examination causes pain, and X-ray based examination is not suited for frequent inspection. This work develops an automatic non-invasive periodontal inspection framework based on gum penetrative Optical Coherence Tomography (OCT), which can be frequently applied without high radiation. We sum up interference responses of all penetration depths for all shooting directions respectively to form the shooting amplitude projection. Because the reaching interference strength decays exponentially with tissues’ penetration depth, this projection mainly reveals the responses of the top most gingiva or teeth. Since gingiva and teeth have different air-tissue responses, the gumline, revealing itself as an obvious boundary between teeth and gingiva, is the basis line for periodontal inspection. Our system can also automatically identify regions of gingiva, teeth, and alveolar bones from slices of the cross-sectional volume. Although deep networks can successfully and possibly segment noisy maps, reducing the number of manually labeled maps for training is critical for our framework. In order to enhance the effectiveness and efficiency of training and classification, we adjust Snake segmentation to consider neighboring slices in order to locate those regions possibly containing gingiva-teeth and gingiva–alveolar boundaries. Additionally, we also adapt a truncated direct logarithm based on the Snake-segmented region for intensity quantization to emphasize these boundaries for easier identification. Later, the alveolar-gingiva boundary point directly under the gumline is the desired alveolar sample, and we can measure the distance between the gumline and alveolar line for visualization and direct periodontal inspection. At the end, we experimentally verify our choice in intensity quantization and boundary identification against several other algorithms while applying the framework to locate gumline and alveolar line in vivo data successfully.

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Section: Related Workmentioning

confidence: 99%

Section: Swept Source Optical Coherent Tomographymentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

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OCT-Based Periodontal Inspection Framework

Lai

Chiu

Cai

et al. 2019

Sensors

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OCT evaluation of orthodontic surface sealants: a 12-month follow-up randomized clinical trial

et al. 2020

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Objectives The aim of this single-center randomized controlled trial (NCT03753256) was to assess orthodontic surface sealant layer thickness and integrity in vivo during a 12-month follow-up by optical coherence tomography (OCT). Materials and methods Using a split-mouth design, quadrants of 20 patients treated with fixed orthodontic appliances were included. Quadrants were randomly assigned to the sealants Pro Seal® (PS) or Opal® Seal™ (OS). OCT scans were performed immediately after the application of the sealants and after 3, 6, 9, and 12 months. Sealant layer thicknesses and their integrity were determined at 5 regions of interest (ROIs) known for high risks of demineralization. Sealant integrity loss was determined using a self-developed scale. Results A total of 16 patients successfully completed the study. The studied sealants showed significant differences in initial layer thickness. Mean layer thickness was significantly lower for PS (67.8 μm, (95% CI, 56.1-79.5)) than for OS (110.7 μm, (95% CI, 97.3-124.1)). Layer thickness loss was significant after 3 months for PS and after 6 months for OS. Sealant integrity was compromised in more than 50% of the ROIs already after 3 months for both sealants. Conclusions Patients treated with fixed orthodontic surface sealants lost the integrity of the protective layer in more than 50% of cases after 3 months, and the layer thickness of the sealants was significantly reduced after 3-6 months. Clinical relevance The protective effect against demineralization lesions of orthodontic sealants in patients treated with fixed appliances appears to be limited in time. Further preventive measures should be investigated. Trial registration ClinicalTrials.gov (NCT 03753256

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Potential Imaging Capability of Optical Coherence Tomography as Dental Optical Probe: A Mini-Review

et al. 2021

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Optical coherence tomography (OCT) has been emerging in the dental field as an alternative diagnostic imaging for “optical probes” owing to its micro-meter resolution and non-invasiveness. This review aims to answer the following question: what is the imaging capability of OCT to visualize the subgingival area? Online searches were performed on PubMed and SPIE digital library databases, followed by a manual screening of references listed in relevant studies. The feasibility and imaging performance of OCT to visualize the subgingival area, including the periodontal, peri-implant, and crown margins, are discussed. All of the literature reviewed in this study demonstrated that OCT has the ability to visualize periodontal, including hard and soft tissues, and peri-implant conditions with high resolution. Gingival sulcus depth, periodontal pocket, and calculus deposition can also be depicted. However, clinical evidence that support the imaging capability of OCT as a dental optical probe to visualize subgingival area is lacking. Limited availability, portability, and usability of OCT for clinical experiments in dentistry, particularly for the subgingival area, might be contributed to its limitations. Hence, further development of handheld OCT systems and controlled clinical trials are needed to confirm the imaging capability of OCT reported in this review.

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Interactive OCT-Based Tooth Scan and Reconstruction

Cited by 5 publications

References 19 publications

OCT-Based Periodontal Inspection Framework

OCT-Based Periodontal Inspection Framework

OCT evaluation of orthodontic surface sealants: a 12-month follow-up randomized clinical trial

Potential Imaging Capability of Optical Coherence Tomography as Dental Optical Probe: A Mini-Review

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