Interactive OCT-Based Tooth Scan and Reconstruction
1
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
2
Department of Dentistry, National Yang-Ming University, Taipei 112, Taiwan
3
Department of Stomatology, Taipei Veterans General Hospital, Taipei 112, Taiwan
4
Department of Dentistry, Taipei City Hospital, Taipei 103, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(19), 4234; https://doi.org/10.3390/s19194234
Received: 13 September 2019 / Revised: 27 September 2019 / Accepted: 27 September 2019 / Published: 29 September 2019
(This article belongs to the Special Issue Advances in Intelligent Single/Multiple Sensing Systems and Applications)
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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MDPI and ACS Style
Lai, Y.-C.; Lin, J.-Y.; Yao, C.-Y.; Lyu, D.-Y.; Lee, S.-Y.; Chen, K.-W.; Chen, I-Y. Interactive OCT-Based Tooth Scan and Reconstruction. Sensors 2019, 19, 4234. https://doi.org/10.3390/s19194234
AMA Style
Lai Y-C, Lin J-Y, Yao C-Y, Lyu D-Y, Lee S-Y, Chen K-W, Chen I-Y. Interactive OCT-Based Tooth Scan and Reconstruction. Sensors. 2019; 19(19):4234. https://doi.org/10.3390/s19194234
Chicago/Turabian StyleLai, Yu-Chi; Lin, Jin-Yang; Yao, Chih-Yuan; Lyu, Dong-Yuan; Lee, Shyh-Yuan; Chen, Kuo-Wei; Chen, I-Yu. 2019. "Interactive OCT-Based Tooth Scan and Reconstruction" Sensors 19, no. 19: 4234. https://doi.org/10.3390/s19194234
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