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

被引:6
|
作者
Preda, Flavia [1 ,2 ]
Nogueira-Reis, Fernanda [1 ,2 ,3 ]
Stanciu, Eugen Marius [4 ]
Smolders, Andreas [5 ]
Jacobs, Reinhilde [1 ,2 ,6 ]
Shaheen, Eman [1 ,2 ]
机构
[1] Katholieke Univ Leuven, Fac Med, Dept Imaging & Pathol, OMFS IMPATH Res Grp, Kapucijnenvoer 33, BE-3000 Leuven, Belgium
[2] Univ Hosp Leuven, Oral & Maxillofacial Surg, Kapucijnenvoer 33, BE-3000 Leuven, Belgium
[3] Univ Campinas UNICAMP, Piracicaba Dent Sch, Dept Oral Diag, Div Oral Radiol, Ave Limeira 901, BR-13414903 Piracicaba, SP, Brazil
[4] Private Dent Lab DKdent, Bucharest, Romania
[5] Paul Scherrer Inst, Villigen, Switzerland
[6] Karolinska Inst, Dept Dent Med, Box 4064, SE-14104 Stockholm, Sweden
关键词
Automated registration; Intra-oral scan; Cone-Beam Computed Tomography; Three-dimensional imaging; Digital workflow; SURGERY; ACCURACY;
D O I
10.1016/j.jdent.2024.105282
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Objective: This study aimed to validate a newly developed automated method (Virtual Patient Creator, Relu, Leuven, Belgium) for multimodal registration of intraoral scan (IOS) and Cone Beam Computed Tomography (CBCT). Methods: 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 semiautomated 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. Results: 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. Conclusions: 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. Clinical significance: 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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页数:8
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