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Interactive OCT-Based Tooth Scan and Reconstruction

Digital dental reconstruction can be a more efficient and effective mechanism for artificial crown construction and period inspection. However, optical methods cannot reconstruct those portions under gums, and X-ray-based methods have high radiation to limit their applied frequency. Optical coherenc...

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Autores principales: Lai, Yu-Chi, Lin, Jin-Yang, Yao, Chih-Yuan, Lyu, Dong-Yuan, Lee, Shyh-Yuan, Chen, Kuo-Wei, Chen, I-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806294/
https://www.ncbi.nlm.nih.gov/pubmed/31569554
http://dx.doi.org/10.3390/s19194234
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author Lai, Yu-Chi
Lin, Jin-Yang
Yao, Chih-Yuan
Lyu, Dong-Yuan
Lee, Shyh-Yuan
Chen, Kuo-Wei
Chen, I-Yu
author_facet Lai, Yu-Chi
Lin, Jin-Yang
Yao, Chih-Yuan
Lyu, Dong-Yuan
Lee, Shyh-Yuan
Chen, Kuo-Wei
Chen, I-Yu
author_sort Lai, Yu-Chi
collection PubMed
description Digital dental reconstruction can be a more efficient and effective mechanism for artificial crown construction and period inspection. However, optical methods cannot reconstruct those portions under gums, and X-ray-based methods have high radiation to limit their applied frequency. Optical coherence tomography (OCT) can harmlessly penetrate gums using low-coherence infrared rays, and thus, this work designs an OCT-based framework for dental reconstruction using optical rectification, fast Fourier transform, volumetric boundary detection, and Poisson surface reconstruction to overcome noisy imaging. Additionally, in order to operate in a patient’s mouth, the caliber of the injector is small along with its short penetration depth and effective operation range, and thus, reconstruction requires multiple scans from various directions along with proper alignment. However, flat regions, such as the mesial side of front teeth, may not have enough features for alignment. As a result, we design a scanning order for different types of teeth starting from an area of abundant features for easier alignment while using gyros to track scanned postures for better initial orientations. It is important to provide immediate feedback for each scan, and thus, we accelerate the entire signal processing, boundary detection, and point-cloud alignment using Graphics Processing Units (GPUs) while streamlining the data transfer and GPU computations. Finally, our framework can successfully reconstruct three isolated teeth and a side of one living tooth with comparable precisions against the state-of-art method. Moreover, a user study also verifies the effectiveness of our interactive feedback for efficient and fast clinic scanning.
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spelling pubmed-68062942019-11-07 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 Sensors (Basel) Article Digital dental reconstruction can be a more efficient and effective mechanism for artificial crown construction and period inspection. However, optical methods cannot reconstruct those portions under gums, and X-ray-based methods have high radiation to limit their applied frequency. Optical coherence tomography (OCT) can harmlessly penetrate gums using low-coherence infrared rays, and thus, this work designs an OCT-based framework for dental reconstruction using optical rectification, fast Fourier transform, volumetric boundary detection, and Poisson surface reconstruction to overcome noisy imaging. Additionally, in order to operate in a patient’s mouth, the caliber of the injector is small along with its short penetration depth and effective operation range, and thus, reconstruction requires multiple scans from various directions along with proper alignment. However, flat regions, such as the mesial side of front teeth, may not have enough features for alignment. As a result, we design a scanning order for different types of teeth starting from an area of abundant features for easier alignment while using gyros to track scanned postures for better initial orientations. It is important to provide immediate feedback for each scan, and thus, we accelerate the entire signal processing, boundary detection, and point-cloud alignment using Graphics Processing Units (GPUs) while streamlining the data transfer and GPU computations. Finally, our framework can successfully reconstruct three isolated teeth and a side of one living tooth with comparable precisions against the state-of-art method. Moreover, a user study also verifies the effectiveness of our interactive feedback for efficient and fast clinic scanning. MDPI 2019-09-29 /pmc/articles/PMC6806294/ /pubmed/31569554 http://dx.doi.org/10.3390/s19194234 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lai, Yu-Chi
Lin, Jin-Yang
Yao, Chih-Yuan
Lyu, Dong-Yuan
Lee, Shyh-Yuan
Chen, Kuo-Wei
Chen, I-Yu
Interactive OCT-Based Tooth Scan and Reconstruction
title Interactive OCT-Based Tooth Scan and Reconstruction
title_full Interactive OCT-Based Tooth Scan and Reconstruction
title_fullStr Interactive OCT-Based Tooth Scan and Reconstruction
title_full_unstemmed Interactive OCT-Based Tooth Scan and Reconstruction
title_short Interactive OCT-Based Tooth Scan and Reconstruction
title_sort interactive oct-based tooth scan and reconstruction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806294/
https://www.ncbi.nlm.nih.gov/pubmed/31569554
http://dx.doi.org/10.3390/s19194234
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