2025/07/23 by Linda Wei, Chang Liu, Wei, Linda +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Dentistry · #Computer Vision and Pattern Recognition (cs.CV) #Dental Implant Techniques and Outcomes #Dental Radiography and Imaging #FOS: Computer and information sciences #dental development and anomalies
paper · pdf · doi:10.48550/arxiv.2507.17205
openalex publication_date 2025/07/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The design of restorative dental crowns from intraoral scans is labor-intensive for dental technicians. To address this challenge, we propose a novel voxel-based framework for automated dental crown design (VBCD). The VBCD framework generates an initial coarse dental crown from voxelized intraoral scans, followed by a fine-grained refiner incorporating distance-aware supervision to improve accuracy and quality. During the training stage, we employ the Curvature and Margin line Penalty Loss (CMPL) to enhance the alignment of the generated crown with the margin line. Additionally, a positional prompt based on the FDI tooth numbering system is introduced to further improve the accuracy of the generated dental crowns. Evaluation on a large-scale dataset of intraoral scans demonstrated that our approach outperforms existing methods, providing a robust solution for personalized dental crown design.