Deep generative network-assisted morphogenesis for functional full-crown restorations

Abstract

The present disclosure provides a deep generation network-assisted morphological generation method for a functional full-crown restoration, which relates to the field of computer-aided biomedical engineering. based on the jaw space position of the missing tooth combined with the depth generation network model to reconstruct the basic shape of the occlusal surface and the detailed shape of the occlusal surface of the missing tooth; based on the reconstructed occlusal surface shape of the missing tooth combined with the structure of the bonding layer of the restoration and the intermediate connector reconstruction The full-crown restoration of the defective tooth; among them, when reconstructing the basic shape of the occlusal surface, the front-end network of the deep network model uses the Wasserstein distance as the difference measure. The basic shape of the occlusal surface that satisfies the spatial position relationship of the jaw is generated; the adversarial loss makes the distribution of the generated image close to the real image, and the perceptual feature loss function is introduced to penalize the generated unreal occlusal surface image, so as to reconstruct the occlusal surface that is closer to the target crown form.

Description

technical field [0001] The present disclosure relates to the field of computer-aided biomedical engineering, in particular to a deep generation network-assisted morphogenesis method for a functional full-crown restoration. Background technique [0002] Most of the tooth restoration design methods continue the traditional hand-made restoration process. According to the restoration treatment plan, complex procedures such as preparation preparation, impression, moulding, carving wax-up, casting, etc. are carried out; Adjustment, it is difficult to design a restoration suitable for the patient's chewing function at one time, and it requires multiple tries and grinding before it can adapt to the oral environment, which may cause a delay in the optimal treatment time and prolong the overall treatment time. [0003] The dental restoration technology based on digital design and manufacturing (CAD / CAM) has successfully introduced computer-aided design and manufacturing into the field...

AI Technical Summary

Problems solved by technology

[0004] The purpose of this disclosure is to address the defects of the existing technology, to provide a method and system for generating a functional full crown restoration assisted by a deep generation network, which can design a personalized restoration with natural tooth anatomy and correct occlusal contact relationship, and avoid It solves the problem that the restoration based on the deformation design of the template crown is difficult to adapt to the patient's dentition, reduces the post-mandibular adjustment work, and improves the design efficiency and design quality

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