Graduate Orthodontics
A research program in Orthodontics focused on the use of oral radiology images offers opportunities to enhance treatment planning, improve diagnostic accuracy, and minimize uncertainties caused by image artifacts. In orthodontics, Cone Beam CT (CBCT), panoramic, and cephalometric radiographs are widely used to assess craniofacial structures, tooth positions, and airway dimensions. However, imaging artifacts—such as beam hardening, scatter, and motion artifacts—can introduce distortions that affect diagnostic reliability. Research in this field aims to develop artifact reduction techniques, such as advanced image processing algorithms and machine learning models, to enhance image clarity and accuracy. Additionally, improved segmentation and superimposition methods using CBCT data can help track treatment progress more precisely, reducing the need for repeated imaging and unnecessary radiation exposure.The stream also provides research opportunities in specialized CBCT applications in orthodontics, including 3D evaluation of skeletal discrepancies, virtual orthodontic simulations, and automated treatment planning. Researchers may explore artificial intelligence (AI) for automated landmark detection, improving the efficiency of cephalometric analyses. Another key area is airway assessment using CBCT, where imaging data helps evaluate airway dimensions in patients with sleep apnea or orthodontic concerns related to breathing function. Additionally, CBCT research can contribute to bone density analysis, aiding in better decision-making for orthodontic anchorage and mini-implant placement. This interdisciplinary research, combining oral radiology, AI, and biomechanics, offers orthodontic researchers the opportunity to develop more precise, patient-specific treatment approaches while minimizing uncertainties in diagnosis and planning.
