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Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study
Queiroz, Polyane Mazucatto; Rovaris, Karla; Santaella, Gustavo Machado; Haiter-Neto, Francisco; Freitas, Deborah Queiroz.
  • Queiroz, Polyane Mazucatto; Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Diagnóstico Oral, Área de Radiologia Oral. Piracicaba. BR
  • Rovaris, Karla; Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Diagnóstico Oral, Área de Radiologia Oral. Piracicaba. BR
  • Santaella, Gustavo Machado; Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Diagnóstico Oral, Área de Radiologia Oral. Piracicaba. BR
  • Haiter-Neto, Francisco; Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Diagnóstico Oral, Área de Radiologia Oral. Piracicaba. BR
  • Freitas, Deborah Queiroz; Universidade Estadual de Campinas. Faculdade de Odontologia de Piracicaba. Departamento de Diagnóstico Oral, Área de Radiologia Oral. Piracicaba. BR
J. appl. oral sci ; 25(6): 674-679, Nov.-Dec. 2017. tab, graf
Article Dans Anglais | LILACS, BBO | ID: biblio-893666
ABSTRACT
Abstract To calculate root canal volume and surface area in microCT images, an image segmentation by selecting threshold values is required, which can be determined by visual or automatic methods. Visual determination is influenced by the operator's visual acuity, while the automatic method is done entirely by computer algorithms.

Objective:

To compare between visual and automatic segmentation, and to determine the influence of the operator's visual acuity on the reproducibility of root canal volume and area measurements. Material and

methods:

Images from 31 extracted human anterior teeth were scanned with a μCT scanner. Three experienced examiners performed visual image segmentation, and threshold values were recorded. Automatic segmentation was done using the "Automatic Threshold Tool" available in the dedicated software provided by the scanner's manufacturer. Volume and area measurements were performed using the threshold values determined both visually and automatically.

Results:

The paired Student's t-test showed no significant difference between visual and automatic segmentation methods regarding root canal volume measurements (p=0.93) and root canal surface (p=0.79).

Conclusion:

Although visual and automatic segmentation methods can be used to determine the threshold and calculate root canal volume and surface, the automatic method may be the most suitable for ensuring the reproducibility of threshold determination.
Sujets)


Texte intégral: Disponible Indice: LILAS (Amériques) Sujet Principal: Cavité pulpaire de la dent / Endodontie / Microtomographie aux rayons X Limites du sujet: Humains langue: Anglais Texte intégral: J. appl. oral sci Thème du journal: Dentisterie Année: 2017 Type: Article Pays d'affiliation: Brésil Institution/Pays d'affiliation: Universidade Estadual de Campinas/BR

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Texte intégral: Disponible Indice: LILAS (Amériques) Sujet Principal: Cavité pulpaire de la dent / Endodontie / Microtomographie aux rayons X Limites du sujet: Humains langue: Anglais Texte intégral: J. appl. oral sci Thème du journal: Dentisterie Année: 2017 Type: Article Pays d'affiliation: Brésil Institution/Pays d'affiliation: Universidade Estadual de Campinas/BR