Validation of automated registration of intraoral scan onto Cone Beam Computed Tomography for an efficient digital dental workflow

锥束ct 工作流程 计算机断层摄影术 计算机科学 医学物理学 材料科学 医学 放射科 数据库
作者
Flavia Preda,Fernanda Nogueira-Reis,Eugen Marius Stanciu,A. Smolders,Reinhilde Jacobs,Eman Shaheen
出处
期刊:Journal of Dentistry [Elsevier BV]
卷期号:149: 105282-105282 被引量:7
标识
DOI:10.1016/j.jdent.2024.105282
摘要

This study aimed to validate a newly developed automated method (Relu® Creator, Leuven, Belgium) for multimodal registration of intraoral scan (IOS) and Cone Beam Computed Tomography (CBCT). Time point-matched IOS and CBCT scans of forty patients with variable dental statuses (natural dentition, partial edentulism, presence of orthodontic brackets) were selected. Three operators registered IOS and CBCT scans using three state-of-the-art softwares for orthodontics and orthognathic surgery (IPS Case Designer Proplan CMF and Dolphin Imaging). Automated registration was compared to expert-performed semi-automated registration. Time consumption, accuracy, and consistency of the proposed method were benchmarked to semi-automated registration using root mean squared error calculations. The robustness of the automated registration was evaluated in relationship to the dental status of the patients in the dataset. On average, automatic registration was 7.3 times faster than semi-automatic registration performed by an expert operator. Automatic registration yielded reliable results with low deviation errors compared to the differently skilled operators and semi-automated software. Automated registration surpassed human variability as expressed in intra- and inter-operator inconsistencies. Neither orthodontic brackets nor edentulism impacted registration accuracy. The presented automated method for IOS and CBCT registration is faster, equally accurate, and more consistent than semi-automatic registration performed by an expert or an occasional operator. With similar results among cases with different dental statuses, the clinical feasibility of the method is ensured. A validated automated registration method provides accurate and fast multimodal image integration without incorporating operator bias at the very start of the digital workflows for dentistry, periodontics, orthodontics and orthognathic surgery.

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