Your browser doesn't support javascript.
loading
Validation of automated registration of intraoral scan onto Cone Beam Computed Tomography for an efficient digital dental workflow.
Preda, Flavia; Nogueira-Reis, Fernanda; Stanciu, Eugen Marius; Smolders, Andreas; Jacobs, Reinhilde; Shaheen, Eman.
Affiliation
  • Preda F; OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer 33 BE-3000 Leuven, Belgium. Electronic address: flaviacpreda@gmail.com.
  • Nogueira-Reis F; OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer 33 BE-3000 Leuven, Belgium; Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, Universi
  • Stanciu EM; Private dental laboratory DKdent, Romania.
  • Smolders A; Paul Scherrer Institute, Switzerland.
  • Jacobs R; OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer 33 BE-3000 Leuven, Belgium; Department of Dental Medicine, Karolinska Institutet, Box 4064, 141 04 Huddinge, Stockholm,
  • Shaheen E; OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer 33 BE-3000 Leuven, Belgium.
J Dent ; 149: 105282, 2024 Oct.
Article in En | MEDLINE | ID: mdl-39089669
ABSTRACT

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 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.

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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Software / Cone-Beam Computed Tomography / Workflow Limits: Adult / Female / Humans / Male Language: En Journal: J Dent Year: 2024 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Software / Cone-Beam Computed Tomography / Workflow Limits: Adult / Female / Humans / Male Language: En Journal: J Dent Year: 2024 Document type: Article Country of publication: United kingdom