Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging Sensors

In the field of dental health care, plaster models combined with 2D radiographs are widely used in clinical practice for orthodontic diagnoses. However, complex malocclusions can be better analyzed by exploiting 3D digital dental models, which allow virtual simulations and treatment planning process...

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Main Authors: Armando Viviano Razionale, Alessandro Paoli, Sandro Barone
Format: Article
Language:English
Published: MDPI AG 2013-02-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/13/2/2033
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spelling doaj-8349a70bb3a949a4a84e5ba1f0c0d3922020-11-25T00:15:12ZengMDPI AGSensors1424-82202013-02-011322033205010.3390/s130202033Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging SensorsArmando Viviano RazionaleAlessandro PaoliSandro BaroneIn the field of dental health care, plaster models combined with 2D radiographs are widely used in clinical practice for orthodontic diagnoses. However, complex malocclusions can be better analyzed by exploiting 3D digital dental models, which allow virtual simulations and treatment planning processes. In this paper, dental data captured by independent imaging sensors are fused to create multi-body orthodontic models composed of teeth, oral soft tissues and alveolar bone structures. The methodology is based on integrating Cone-Beam Computed Tomography (CBCT) and surface structured light scanning. The optical scanner is used to reconstruct tooth crowns and soft tissues (visible surfaces) through the digitalization of both patients’ mouth impressions and plaster casts. These data are also used to guide the segmentation of internal dental tissues by processing CBCT data sets. The 3D individual dental tissues obtained by the optical scanner and the CBCT sensor are fused within multi-body orthodontic models without human supervisions to identify target anatomical structures. The final multi-body models represent valuable virtual platforms to clinical diagnostic and treatment planning.http://www.mdpi.com/1424-8220/13/2/2033dental CBCT imagesoptical scanningsensor fusiontooth segmentationorthodontic model
collection DOAJ
language English
format Article
sources DOAJ
author Armando Viviano Razionale
Alessandro Paoli
Sandro Barone
spellingShingle Armando Viviano Razionale
Alessandro Paoli
Sandro Barone
Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging Sensors
Sensors
dental CBCT images
optical scanning
sensor fusion
tooth segmentation
orthodontic model
author_facet Armando Viviano Razionale
Alessandro Paoli
Sandro Barone
author_sort Armando Viviano Razionale
title Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging Sensors
title_short Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging Sensors
title_full Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging Sensors
title_fullStr Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging Sensors
title_full_unstemmed Creation of 3D Multi-Body Orthodontic Models by Using Independent Imaging Sensors
title_sort creation of 3d multi-body orthodontic models by using independent imaging sensors
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2013-02-01
description In the field of dental health care, plaster models combined with 2D radiographs are widely used in clinical practice for orthodontic diagnoses. However, complex malocclusions can be better analyzed by exploiting 3D digital dental models, which allow virtual simulations and treatment planning processes. In this paper, dental data captured by independent imaging sensors are fused to create multi-body orthodontic models composed of teeth, oral soft tissues and alveolar bone structures. The methodology is based on integrating Cone-Beam Computed Tomography (CBCT) and surface structured light scanning. The optical scanner is used to reconstruct tooth crowns and soft tissues (visible surfaces) through the digitalization of both patients’ mouth impressions and plaster casts. These data are also used to guide the segmentation of internal dental tissues by processing CBCT data sets. The 3D individual dental tissues obtained by the optical scanner and the CBCT sensor are fused within multi-body orthodontic models without human supervisions to identify target anatomical structures. The final multi-body models represent valuable virtual platforms to clinical diagnostic and treatment planning.
topic dental CBCT images
optical scanning
sensor fusion
tooth segmentation
orthodontic model
url http://www.mdpi.com/1424-8220/13/2/2033
work_keys_str_mv AT armandovivianorazionale creationof3dmultibodyorthodonticmodelsbyusingindependentimagingsensors
AT alessandropaoli creationof3dmultibodyorthodonticmodelsbyusingindependentimagingsensors
AT sandrobarone creationof3dmultibodyorthodonticmodelsbyusingindependentimagingsensors
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