Dot Gauthier, Rafflenbeul Frédéric, Salmon Benjamin
Université de Paris, Service d'Odontologie, AP-HP, Hopital Pitié-Salpétrière, 75013 Paris, France.
Université de Strasbourg, Faculté de Chirurgie Dentaire, Département d'Orthopédie Dento-Faciale, 67000 Strasbourg, France.
Int Orthod. 2020 Dec;18(4):739-748. doi: 10.1016/j.ortho.2020.08.001. Epub 2020 Oct 1.
The increasing use of three-dimensional (3D) imaging in orthodontics has led to the development of 3D superimposition techniques. These techniques use stable anatomic structures as references in order to compare Cone Beam CT (CBCT) scans of the same subject at different time-points. Three methods have been described in the literature: landmark-based, surface-based and voxel-based 3D superimpositions.
This article focuses on the voxel-based approach, which is the most described and the only one that can be fully automatized. The aim of this paper is to offer clinicians a practical tutorial on craniofacial voxel-based 3D superimposition.
We provide an updated overview of the available implementation methods, describing their methodology, validations, main steps, advantages and drawbacks. The historical open-source method is the most widespread for research purposes, but takes around three hours to achieve for an experienced operator. Several commercially-available software perform superimpositions in a few minutes.
We used two of the available methods to conduct the superimposition process with three representative clinical cases in order to illustrate the different types of results that can be obtained.
Commercially-available software provide user-friendly and fully automatized superimposition methods, allowing clinicians to perform it easily and helping to reduce human error in image analysis. Still, quantitative evaluation of the results remains the main challenge of this technique.
正畸学中三维(3D)成像的使用日益增加,促使了3D叠加技术的发展。这些技术使用稳定的解剖结构作为参考,以便比较同一受试者在不同时间点的锥形束计算机断层扫描(CBCT)。文献中描述了三种方法:基于标志点的、基于表面的和基于体素的3D叠加。
本文重点关注基于体素的方法,该方法是描述最多且唯一可完全自动化的方法。本文的目的是为临床医生提供关于基于体素的颅面3D叠加的实用教程。
我们提供了可用实施方法的最新概述,描述了它们的方法、验证、主要步骤、优点和缺点。历史开源方法在研究目的中最为广泛使用,但对于有经验的操作人员来说,完成该方法大约需要三个小时。一些商业软件在几分钟内就能完成叠加。
我们使用其中两种可用方法对三个具有代表性的临床病例进行叠加过程,以说明可以获得的不同类型的结果。
商业软件提供了用户友好且完全自动化的叠加方法,使临床医生能够轻松执行,并有助于减少图像分析中的人为误差。尽管如此,对结果进行定量评估仍然是该技术的主要挑战。