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Related Experiment Video

Updated: May 29, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

A Tri-Window Intraoral Scanner (Tri-IOS): design and evaluation.

Shifei Qi¹, Puming Zhang¹, Jun Zhao¹

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

Biomedical Physics & Engineering Express

|May 27, 2026

Summary

This summary is machine-generated.

A new tri-window intraoral scanner (Tri-IOS) significantly improves dental impression speed and accuracy for implant rehabilitation. This novel device captures multiple data angles simultaneously, overcoming limitations of traditional mono-window intraoral scanners (Mono-IOS).

Keywords:

3D reconstruction intraoral scanners multi-directional vision

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Last Updated: May 29, 2026

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Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Area of Science:

Biomedical Engineering
Dental Technology
Optical Imaging

Background:

Traditional mono-window intraoral scanners (Mono-IOS) present challenges in speed and accuracy, particularly for complex dental restorations like edentulous arch implant rehabilitation.
The cumbersome scanning process and insufficient impression accuracy of current systems hinder clinical efficiency and patient outcomes.

Purpose of the Study:

To introduce and evaluate a novel tri-window intraoral scanner (Tri-IOS) designed to overcome the limitations of Mono-IOS.
To enhance impression acquisition speed and accuracy for dental implant rehabilitation through simultaneous multi-directional data capture.

Main Methods:

The Tri-IOS utilizes a U-shaped configuration with three plane mirrors to create three virtual cameras for simultaneous occlusal, buccal, and lingual data acquisition.
Calibration of virtual camera relative poses is performed using sphere-based fitting, followed by iterative closest point algorithm for precise point cloud integration, tracking, and reconstruction.

Main Results:

The Tri-IOS features a compact scanner head and achieves synchronized three-directional data acquisition.
Impression time was reduced to one-third compared to Mono-IOS setups.
The Tri-IOS demonstrated enhanced local detail and overall shape fidelity, significantly improving accuracy for edentulous arch implant impressions.

Conclusions:

The Tri-IOS offers substantial improvements in both the speed and accuracy of dental impression acquisition.
The mirror-based design facilitates miniaturization and productization, indicating strong potential for clinical adoption.
This advancement is crucial for enhancing intraoral scanner performance and driving product realization in digital dentistry.