Patient Specific Classification of Dental Root Canal and Crown Shape
| Autor: | Antonio Carlos de Oliveira Ruellas, Juan Fernando Aristizabal, Fabiana N. Soki, Serge Brosset, Kayvan Najarian, Marcos Ioshida, Camila Massaro, Aron Aliaga-Del Castillo, Erika Benavides, Marcela Gurgel, Marilia Yatabe, Juan Carlos Prieto, Beatriz Paniagua, Maria Antonia Alvarez, Jonas Bianchi, Maxime Dumont, Jonathan Gryak, Jean-Christophe Fillion-Robin, Reza Soroushmehr, Gisele F. Neiva, Diego Rey, Hector F. Rios, Martin Styner, Lucia H. S. Cevidanes |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Shape Med Imaging (2020) Shape in Medical Imaging ISBN: 9783030610555 ShapeMI@MICCAI |
| Popis: | This paper proposes machine learning approaches to support dentistry researchers in the context of integrating imaging modalities to analyze the morphology of tooth crowns and roots. One of the challenges to jointly analyze crowns and roots with precision is that two different image modalities are needed. Precision in dentistry is mainly driven by dental crown surfaces characteristics, but information on tooth root shape and position is of great value for successful root canal preparation, pulp regeneration, planning of orthodontic movement, restorative and implant dentistry. An innovative approach is to use image processing and machine learning to combine crown surfaces, obtained by intraoral scanners, with three dimensional volumetric images of the jaws and teeth root canals, obtained by cone beam computed tomography. In this paper, we propose a patient specific classification of dental root canal and crown shape analysis workflow that is widely applicable. |
| Databáze: | OpenAIRE |
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