Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features

SUMMARY: To explore a new semi-automatic method to segment the teeth from the three-dimensional volume data which acquired from cone beam computed tomography (CBCT) scanner. Scanned dental cast models are used to evaluate the segmentation accuracy. The CBCT data are loaded to ORS software. Based on...

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Autores principales:	Yang,Huifang, Wang,Siwei
Lenguaje:	English
Publicado:	Sociedad Chilena de Anatomía 2020
Materias:	Cone beam computed tomography 3D scanner Segmentation Digital orthodontics
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022020000501325
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spelling	oai:scielo:S0717-950220200005013252021-06-10Research on a Segmentation and Evaluation Method Combining Tooth Morphology FeaturesYang,HuifangWang,Siwei Cone beam computed tomography 3D scanner Segmentation Digital orthodontics SUMMARY: To explore a new semi-automatic method to segment the teeth from the three-dimensional volume data which acquired from cone beam computed tomography (CBCT) scanner. Scanned dental cast models are used to evaluate the segmentation accuracy. The CBCT data are loaded to ORS software. Based on gray value, a semi-automatic method was used to segment teeth and then the segmented teeth were saved in STL format data. Smooth the mesh data in the Geomagic Studio software. The upper and lower dental cast models were scanned by a white light scanner and the data was saved in STL format too. After registering the model data to teeth data, the deviation between them was analyzed in the Geomagic Qualify. All teeth could be obtained, the method is simple to use and applied in orthodontic biomechanics. The entire process took less than 30 minutes. The actual measured Root Mean Square (RMS) value is 0.39 mm, less than 0.4 mm. This method can segment teeth from the jaw quickly and reliably with a little user intervention. The method has important significance for dental orthodontics, virtual jaw surgery simulation and other stomatology applications.info:eu-repo/semantics/openAccessSociedad Chilena de AnatomíaInternational Journal of Morphology v.38 n.5 20202020-10-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022020000501325en10.4067/S0717-95022020000501325
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Cone beam computed tomography 3D scanner Segmentation Digital orthodontics
spellingShingle	Cone beam computed tomography 3D scanner Segmentation Digital orthodontics Yang,Huifang Wang,Siwei Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features
description	SUMMARY: To explore a new semi-automatic method to segment the teeth from the three-dimensional volume data which acquired from cone beam computed tomography (CBCT) scanner. Scanned dental cast models are used to evaluate the segmentation accuracy. The CBCT data are loaded to ORS software. Based on gray value, a semi-automatic method was used to segment teeth and then the segmented teeth were saved in STL format data. Smooth the mesh data in the Geomagic Studio software. The upper and lower dental cast models were scanned by a white light scanner and the data was saved in STL format too. After registering the model data to teeth data, the deviation between them was analyzed in the Geomagic Qualify. All teeth could be obtained, the method is simple to use and applied in orthodontic biomechanics. The entire process took less than 30 minutes. The actual measured Root Mean Square (RMS) value is 0.39 mm, less than 0.4 mm. This method can segment teeth from the jaw quickly and reliably with a little user intervention. The method has important significance for dental orthodontics, virtual jaw surgery simulation and other stomatology applications.
author	Yang,Huifang Wang,Siwei
author_facet	Yang,Huifang Wang,Siwei
author_sort	Yang,Huifang
title	Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features
title_short	Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features
title_full	Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features
title_fullStr	Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features
title_full_unstemmed	Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features
title_sort	research on a segmentation and evaluation method combining tooth morphology features
publisher	Sociedad Chilena de Anatomía
publishDate	2020
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022020000501325
work_keys_str_mv	AT yanghuifang researchonasegmentationandevaluationmethodcombiningtoothmorphologyfeatures AT wangsiwei researchonasegmentationandevaluationmethodcombiningtoothmorphologyfeatures
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Research on a Segmentation and Evaluation Method Combining Tooth Morphology Features

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