Aligning digital arch scans with cone beam computed tomography by using a chairside radiopaque occlusal registration material: A technique report and literature review

Accurate superimposition of digital intraoral scans onto cone beam computed tomography (CBCT) images is crucial for static computer-assisted implant surgery (sCAIS). Conventionally, the remaining teeth are utilized as matching references to achieve this superimposition. However, in patients with limited dentition, the reduced number and uneven distribution of these teeth may compromise their reliability as reference points, often necessitating additional radiographic guides that increase both chairside time and treatment costs. This technical report introduces a straightforward and efficient method to enhance the alignment of digital arch scans with CBCT images in patients with insufficient remaining teeth, employing a chairside radiopaque occlusal registration material. By applying this material to edentulous regions, additional radiopaque markers with optimal distribution are generated, offering new reference points for precise scan data alignment. This technique can be seamlessly incorporated into routine clinical practice, as it utilizes only readily available clinical materials. In addition, a literature review of techniques for improving the alignment of arch scans and CBCT scans was conducted, aiming to provide guidance for clinical practice.

Authors

Institutions

Publication Details

Journal
Digital Dentistry Journal
Published
2025-05-06
DOI
https://doi.org/10.1016/j.ddj.2025.100017
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aligning digital arch scans with cone beam computed tomography by using a chairside radiopaque occlusal registration material: A technique report and literature review

Shengtao Yang, Lei Wu, Li Yue, Junying Li
Digital Dentistry Journal
Dental Radiography and Imaging
article

Aligning digital arch scans with cone beam computed tomography by using a chairside radiopaque occlusal registration material: A technique report and literature review

Shengtao Yang, Lei Wu, Li Yue, Junying Li
article en

Abstract

Accurate superimposition of digital intraoral scans onto cone beam computed tomography (CBCT) images is crucial for static computer-assisted implant surgery (sCAIS). Conventionally, the remaining teeth are utilized as matching references to achieve this superimposition. However, in patients with limited dentition, the reduced number and uneven distribution of these teeth may compromise their reliability as reference points, often necessitating additional radiographic guides that increase both chairside time and treatment costs. This technical report introduces a straightforward and efficient method to enhance the alignment of digital arch scans with CBCT images in patients with insufficient remaining teeth, employing a chairside radiopaque occlusal registration material. By applying this material to edentulous regions, additional radiopaque markers with optimal distribution are generated, offering new reference points for precise scan data alignment. This technique can be seamlessly incorporated into routine clinical practice, as it utilizes only readily available clinical materials. In addition, a literature review of techniques for improving the alignment of arch scans and CBCT scans was conducted, aiming to provide guidance for clinical practice.

Digital Dentistry JournalVol. 2(2)
Sichuan University (CN), University of Michigan (US), National Clinical Research (US), Stomatology Hospital (CN)
Openalex Percentile: Top 87%
Dental Radiography and Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.