| Autor: |
Romain Deleat-Besson, Celia Le, Najla Al Turkestani, Winston Zhang, Maxime Dumont, Serge Brosset, Juan Carlos Prieto, Lucia Cevidanes, Jonas Bianchi, Antonio Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga-Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Kayvan Najarian, Jonathan Gryak, Martin Styner, Jean-Christophe Fillion-Robin, Beatriz Paniagua, Reza Soroushmehr |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). |
| Popis: |
In this paper, machine learning approaches are proposed to support dental researchers and clinicians to study the shape and position of dental crowns and roots, by implementing a Patient Specific Classification and Prediction tool that includes RootCanalSeg and DentalModelSeg algorithms and then merges the output of these tools for intraoral scanning and volumetric dental imaging. RootCanalSeg combines image processing and machine learning approaches to automatically segment the root canals of the lower and upper jaws from large datasets, providing clinical information on tooth long axis for orthodontics, endodontics, prosthodontic and restorative dentistry procedures. DentalModelSeg includes segmenting the teeth from the crown shape to provide clinical information on each individual tooth. The merging algorithm then allows users to integrate dental models for quantitative assessments. Precision in dentistry has been mainly driven by dental crown surface characteristics, but information on tooth root morphology and position is important for successful root canal preparation, pulp regeneration, planning of orthodontic movement, restorative and implant dentistry. In this paper we propose a patient specific classification and prediction of dental root canal and crown shape analysis workflow that employs image processing and machine learning methods to analyze crown surfaces, obtained by intraoral scanners, and three-dimensional volumetric images of the jaws and teeth root canals, obtained by cone beam computed tomography (CBCT). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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