This study describes a method of computerized three-dimensional reconstruction of the main neurovascular pulpal bundle of human teeth, using serial cross paraffin sections, digital image processing, and three-dimensional computer graphics.
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[Deep learning algorithms for intelligent construction of a three-dimensional maxillofacial symmetry reference plane].
Beijing Da Xue Xue Bao Yi Xue Ban
February 2025
Center for Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing 100081, China.
Objective: To develop an original-mirror alignment associated deep learning algorithm for intelligent registration of three-dimensional maxillofacial point cloud data, by utilizing a dynamic graph-based registration network model (maxillofacial dynamic graph registration network, MDGR-Net), and to provide a valuable reference for digital design and analysis in clinical dental applications.
Methods: Four hundred clinical patients without significant deformities were recruited from Peking University School of Stomatology from October 2018 to October 2022. Through data augmentation, a total of 2 000 three-dimensional maxillofacial datasets were generated for training and testing the MDGR-Net algorithm.
Comparison of Mirroring and Overlapping Analysis and Three-Dimensional Soft Tissue Spatial Angle Wireframe Template in Evaluating Facial Asymmetry.
Bioengineering (Basel)
January 2025
Department of Orthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, Beijing 100081, China.
Aim: The purpose of this study was to evaluate the accuracy and efficacy of a new wireframe template methodology in analyzing three-dimensional facial soft tissue asymmetry.
Materials And Methods: Three-dimensional facial soft tissue data were obtained for 24 patients. The wireframe template was established by identifying 34 facial landmarks and then forming a template on the face with the MeshLab 2020 software.
Utility of 3D facial reconstruction for forensic identification: a focus on facial soft tissue thickness and customized techniques.
Forensic Sci Med Pathol
January 2025
Department of Anatomy, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Facial reconstruction, a crucial method in forensic identification, finds particular significance in cases where conventional means of identification are unavailable. This study addresses a significant gap in the field of forensic facial reconstruction focusing on facial soft tissue thickness (FSTT) and facial reconstruction techniques specifically tailored to the Thai population. By developing and implementing the 3D (three-dimensional) facial reconstruction program and compiling an extensive dataset of FSTT, this research makes substantial progress in advancing forensic facial reconstruction methodologies employing the combination Manchester Method, 3D skull images obtained through cone beam computed tomography (CBCT) scans were reconstructed using Autodesk Maya software.
View Article and Find Full Text PDFEvaluation of Pedicle Screw Position on Computerized Tomography Using Three-Dimensional Reconstruction Software.
Medicina (Kaunas)
December 2024
Spine Center and Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Republic of Korea.
: Recent advances in intraoperative navigation systems have improved the accuracy of pedicle screw placement in spine surgery. However, many hospitals have limited access to these advanced technologies due to resource constraints. In such settings, postoperative computed tomography (CT) evaluation remains crucial for assessing screw placement and related potential complications.
View Article and Find Full Text PDFAccuracy Evaluation of a Three-Dimensional Face Reconstruction Model Based on the Hifi3D Face Model and Clinical Two-Dimensional Images.
Bioengineering (Basel)
November 2024
Department of Orthodontics, Peking University School and Hospital of Stomatology, National Center for Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, Beijing 100081, China.
Three-dimensional (3D) facial models have been increasingly applied in orthodontics, orthognathic surgery, and various medical fields. This study proposed an approach to reconstructing 3D facial models from standard orthodontic frontal and lateral images, providing an efficient way to expand 3D databases. A total of 23 participants (average age 20.
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