Image generation technology for functional occlusal pits and fissures based on a conditional generative adversarial network.

ABSTRACT: The occlusal surfaces of natural teeth have complex features of functional pits and fissures. These morphological features directly affect the occlusal state of the upper and lower teeth. An image generation technology for functional occlusal pits and fissures is proposed to address the lack of local detailed crown surface features in existing dental restoration methods. First, tooth depth image datasets were constructed using an orthogonal projection method. Second, the optimization and improvement of the model parameters were guided by introducing the jaw position spatial constraint, the L1 loss and the perceptual loss functions. Finally, two image quality evaluation metrics were applied to evaluate the quality of the generated images, and deform the dental crown by using the generated o

SUBMITTER: Gu Z 

PROVIDER: S-EPMC10508633 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature