EdenteV2, PubMed, Corpus, bibRecord, 000287

Computation of tooth axes of existent and missing teeth from 3D CT images.

Identifieur interne : 000287 ( PubMed/Corpus ); précédent : 000286; suivant : 000288

Computation of tooth axes of existent and missing teeth from 3D CT images.

Auteurs : Yang Wang ; Lin Wu ; Huayan Guo ; Tiantian Qiu ; Yuanliang Huang ; Bin Lin ; Lisheng Wang

Source :

Biomedizinische Technik. Biomedical engineering [ 1862-278X ] ; 2015.

RBID : pubmed:25941910

English descriptors

KwdEn :
- Imaging, Three-Dimensional (methods), Jaw, Edentulous, Partially (diagnostic imaging), Radiographic Image Interpretation, Computer-Assisted (methods), Radiography, Panoramic (methods), Tomography, X-Ray Computed (methods), Tooth (diagnostic imaging), Tooth Root (diagnostic imaging).
MESH :
- diagnostic imaging : Jaw, Edentulous, Partially, Tooth, Tooth Root.
- methods : Imaging, Three-Dimensional, Radiographic Image Interpretation, Computer-Assisted, Radiography, Panoramic, Tomography, X-Ray Computed.

Abstract

Orientations of tooth axes are important quantitative information used in dental diagnosis and surgery planning. However, their computation is a complex problem, and the existing methods have respective limitations. This paper proposes new methods to compute 3D tooth axes from 3D CT images for existent teeth with single root or multiple roots and to estimate 3D tooth axes from 3D CT images for missing teeth. The tooth axis of a single-root tooth will be determined by segmenting the pulp cavity of the tooth and computing the principal direction of the pulp cavity, and the estimation of tooth axes of the missing teeth is modeled as an interpolation problem of some quaternions along a 3D curve. The proposed methods can either avoid the difficult teeth segmentation problem or improve the limitations of existing methods. Their effectiveness and practicality are demonstrated by experimental results of different 3D CT images from the clinic.

DOI: 10.1515/bmt-2014-0111
PubMed: 25941910

Links to Exploration step

pubmed:25941910

Le document en format XML

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<author><name sortKey="Wang, Yang" sort="Wang, Yang" uniqKey="Wang Y" first="Yang" last="Wang">Yang Wang</name>
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<author><name sortKey="Wu, Lin" sort="Wu, Lin" uniqKey="Wu L" first="Lin" last="Wu">Lin Wu</name>
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<author><name sortKey="Guo, Huayan" sort="Guo, Huayan" uniqKey="Guo H" first="Huayan" last="Guo">Huayan Guo</name>
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<author><name sortKey="Qiu, Tiantian" sort="Qiu, Tiantian" uniqKey="Qiu T" first="Tiantian" last="Qiu">Tiantian Qiu</name>
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<author><name sortKey="Huang, Yuanliang" sort="Huang, Yuanliang" uniqKey="Huang Y" first="Yuanliang" last="Huang">Yuanliang Huang</name>
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<author><name sortKey="Lin, Bin" sort="Lin, Bin" uniqKey="Lin B" first="Bin" last="Lin">Bin Lin</name>
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<author><name sortKey="Wang, Lisheng" sort="Wang, Lisheng" uniqKey="Wang L" first="Lisheng" last="Wang">Lisheng Wang</name>
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<author><name sortKey="Wu, Lin" sort="Wu, Lin" uniqKey="Wu L" first="Lin" last="Wu">Lin Wu</name>
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<front><div type="abstract" xml:lang="en">Orientations of tooth axes are important quantitative information used in dental diagnosis and surgery planning. However, their computation is a complex problem, and the existing methods have respective limitations. This paper proposes new methods to compute 3D tooth axes from 3D CT images for existent teeth with single root or multiple roots and to estimate 3D tooth axes from 3D CT images for missing teeth. The tooth axis of a single-root tooth will be determined by segmenting the pulp cavity of the tooth and computing the principal direction of the pulp cavity, and the estimation of tooth axes of the missing teeth is modeled as an interpolation problem of some quaternions along a 3D curve. The proposed methods can either avoid the difficult teeth segmentation problem or improve the limitations of existing methods. Their effectiveness and practicality are demonstrated by experimental results of different 3D CT images from the clinic.</div>
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<Abstract><AbstractText>Orientations of tooth axes are important quantitative information used in dental diagnosis and surgery planning. However, their computation is a complex problem, and the existing methods have respective limitations. This paper proposes new methods to compute 3D tooth axes from 3D CT images for existent teeth with single root or multiple roots and to estimate 3D tooth axes from 3D CT images for missing teeth. The tooth axis of a single-root tooth will be determined by segmenting the pulp cavity of the tooth and computing the principal direction of the pulp cavity, and the estimation of tooth axes of the missing teeth is modeled as an interpolation problem of some quaternions along a 3D curve. The proposed methods can either avoid the difficult teeth segmentation problem or improve the limitations of existing methods. Their effectiveness and practicality are demonstrated by experimental results of different 3D CT images from the clinic.</AbstractText>
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Computation of tooth axes of existent and missing teeth from 3D CT images.

Computation of tooth axes of existent and missing teeth from 3D CT images.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki