Manufacturing

Ray Co., Ltd. Publishes Research on RayFace-Based Digital Facial Analysis in an International Academic Journal

[Edaily Reporter SHIN MIN JOON ] A study utilizing RAYDENT’s ( Ray Co., Ltd.(228670)), a company specializing in digital dental solutions, 3D facial scanner “RAYFace” has been published in *The Journal of Prosthetic Dentistry* (JPD), a world-renowned academic journal in the fields of implants, prosthetics, and digital dentistry. Ray Co., Ltd. possesses unique 3D facial scanner technology. Ray Co., Ltd. is recognized for establishing leading technological capabilities in the field of cosmetic dentistry through RAYFace, which utilizes this 3D facial scanner technology.

The RAYFace 3D facial scanner. (Image courtesy of Ray Co., Ltd.)

JPD is an SCI(E)-indexed international journal and a world-renowned publication representing the fields of prosthodontics and digital dentistry. RAY explained that this publication is highly significant as it signifies that the accuracy and clinical applicability of RAYFace-based digital facial analysis technology have been validated by the international academic community.

This study was conducted by researchers from the College of Dentistry at National Taiwan University and National Taiwan University Hospital. Dr. Wu Hsiu-feng, the lead author of the paper, is a dentist at National Taiwan University Hospital and a doctoral candidate at the College of Dentistry. Professor Yang Chong-jie, the corresponding author, is an associate professor at the College of Dentistry, National Taiwan University, and director of the Digital Dental Center; he is recognized as an authority in the fields of digital dentistry and virtual patient research.

The title of the paper is “Quantifying the Biomechanical Relationship Between Prosthetic Thickness and Upper Lip Displacement.” To more accurately predict changes in a patient’s facial appearance prior to prosthetic treatment, the research team analyzed 3D facial scan data obtained using RAYFace and quantitatively measured lip movement in response to changes in prosthetic thickness.

In existing digital dental care environments, dental and skeletal data could be analyzed with precision. However, it was difficult to predict how the actual face and soft tissues would change after treatment. In particular, soft tissue movements that occur when smiling or speaking are difficult to replicate using static 3D data alone, and this has been cited as a limitation of digital smile design and virtual patient modeling.

In this study, RayFace served as a key platform for overcoming these limitations. The research team used RayFace to acquire facial data in both the rest position and the maximum smile state, and based on this data, conducted a precise analysis of lip displacement.

The results showed that RayFace demonstrated high precision, with an average system error of 0.24 mm and accuracy meeting clinical standards at 0.3 mm or less. A strong linear relationship between prosthesis thickness and lip displacement was also confirmed. This demonstrated that post-treatment facial changes can be predicted more accurately in a digital environment.

In particular, the research team assessed that these results can serve as key data for implementing a “Dynamic Virtual Patient” that reflects actual facial expressions and soft tissue movements, moving beyond existing static virtual patients. The team explained that this is expected to contribute to improving the accuracy of patient-tailored treatment plans in the fields of prosthodontics, cosmetic dentistry, and orthodontics.

Ray stated that this publication in JPD is part of a trend in which research on facial data and facial change analysis using RayFace continues to be published in major international dental journals, demonstrating that RayFace is establishing itself as the international standard platform for digital dentistry research.

A representative of Ray Co., Ltd. stated, “This JPD paper is a significant achievement that validates the precision and clinical applicability of RayFace in the international academic community,” adding, “Research utilizing RayFace to analyze facial data and facial changes continues to be published in major global dental journals, including JPD. This demonstrates that RayFace is establishing itself as a core platform for digital dentistry research, going beyond that of a simple scanning device.”

The representative continued, “Going forward, we plan to continue advancing technology for dynamic virtual patients based on Ray Co., Ltd. and the 5D platform, which reflects real-time changes in facial expressions—such as resting states, smiling, and speech—in real time,” adding, “Ray Co., Ltd. will further expand international clinical research collaboration in the fields of prosthodontics, aesthetics, and orthodontics, and continue to lead the global digital dentistry market based on academic data.”

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