Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Level Set Evolution without Re-Initialization: A New Variational Formulation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
3D statistical models for tooth surface reconstruction
Computers in Biology and Medicine
Automatic Tooth Region Separation for Dental CT Images
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 01
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Dental CT images present complete information for tooth structures including both crown and root parts. 3D visualization of teeth from CT images provides important assistance for dentists performing orthodontic surgery and treatment. In the conventional visualization framework, volume rendering is applied for the tooth and skull visualization. The appearance of the rendered objects can be changed by adjusting the color transfer function and the opacity transfer function. Moreover, the marching cube method is applied to construct the 3D surface from the volume dataset. However, the constructed surface model takes the tooth and skull as a whole object. The individual tooth cannot be manipulated independently, which does not fit the requirement for the orthodontic simulations. To this end, we propose a new visualization framework to render the skull and tooth independently. Several key modules are addressed including initialization, individual tooth segmentation, 3D visualization and 3D tooth manipulation. Experimental results on both fan beam CT and cone beam CT datasets show that the proposed method is efficient for the orthodontic simulations.