Evidence map›Paper›PMID 31569554›Full record

ArticleSensors (Basel, Switzerland)2019

Interactive OCT-Based Tooth Scan and Reconstruction.

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. OCT-Based Periodontal Inspection Framework.Sensors (Basel, Switzerland) · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yu-Chi LaiDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan. cheeryuchi@gmail.com.ORCID 0000-0001-8578-3101
Jin-Yang LinDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan. darkgrouptw@gmail.com.
Chih-Yuan YaoDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan. cyuan.yao@gmail.com.
Dong-Yuan LyuDepartment of Dentistry, National Yang-Ming University, Taipei 112, Taiwan. dongyuan.lyu@gmail.com.
Shyh-Yuan LeeDepartment of Dentistry, National Yang-Ming University, Taipei 112, Taiwan. sylee@ym.edu.tw.
Kuo-Wei ChenDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan. chen51202@gmail.com.
I-Yu ChenDepartment of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST107-2218-E-011-015Ministry of Science and Technology, Taiwan MOST107-2221-E-011-112-MY2Ministry of Science and Technology, Taiwan MOST107-2221-E-011-114-MY2Ministry of Science and Technology, Taiwan MOST108-2218-E-011-024
6 · The paper itself

Abstract

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.

Indexed as

CalibrationEquipment DesignFourier AnalysisGingivaHumansImage Processing, Computer-AssistedTomography, Optical CoherenceToothinteractive tooth scannerOCT-based reconstruction

Identifiers

PMID31569554
PMCPMC6806294

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.