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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6806294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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