Literature DB >> 28258813

An Approach for a Mathematical Description of Human Root Canals by Means of Elementary Parameters.

Martin Dannemann1, Michael Kucher2, Jasmin Kirsch3, Alexander Binkowski2, Niels Modler2, Christian Hannig3, Marie-Theres Weber3.   

Abstract

INTRODUCTION: Root canal geometry is an important factor for instrumentation and preparation of the canals. Curvature, length, shape, and ramifications need to be evaluated in advance to enhance the success of the treatment. Therefore, the present study aimed to design and realize a method for analyzing the geometric characteristics of human root canals.
METHODS: Two extracted human lower molars were radiographed in the occlusal direction using micro-computed tomographic imaging. The 3-dimensional geometry of the root canals, calculated by a self-implemented image evaluation algorithm, was described by 3 different mathematical models: the elliptical model, the 1-circle model, and the 3-circle model.
RESULTS: The different applied mathematical models obtained similar geometric properties depending on the parametric model used. Considering more complex root canals, the differences of the results increase because of the different adaptability and the better approximation of the geometry.
CONCLUSIONS: With the presented approach, it is possible to estimate and compare the geometry of natural root canals. Therefore, the deviation of the canal can be assessed, which is important for the choice of taper of root canal instruments. Root canals with a nearly elliptical cross section are reasonably approximated by the elliptical model, whereas the 3-circle model obtains a good agreement for curved shapes.
Copyright © 2017 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Curvature; micro–computed tomographic imaging; parametric model; root canal

Mesh:

Year:  2017        PMID: 28258813     DOI: 10.1016/j.joen.2016.11.011

Source DB:  PubMed          Journal:  J Endod        ISSN: 0099-2399            Impact factor:   4.171


  2 in total

1.  Effects of Endodontic Irrigants on Material and Surface Properties of Biocompatible Thermoplastics.

Authors:  Michael Kucher; Martin Dannemann; Niels Modler; Christian Hannig; Marie-Theres Weber
Journal:  Dent J (Basel)       Date:  2019-03-06

2.  Evaluation Algorithm of Root Canal Shape Based on Steklov Spectrum Analysis.

Authors:  Dongqing Wu; Jian Gao; Xiaoli Hu; Zhengtao Xiao; Zhuwei Huang; Lanyu Zhang; Xin Chen; Yunbo He
Journal:  Comput Math Methods Med       Date:  2019-11-03       Impact factor: 2.238

  2 in total

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