Deep generative network assisted functional full-crown restoration form generation method

Abstract

The invention provides a deep generative network assisted functional full-crown restoration form generation method, and relates to the field of computer-assisted biomedical engineering, and the method comprises the following steps: obtaining and processing three-dimensional data of a tooth jaw where a defective tooth is located, and obtaining a jaw space position of the defective tooth in the tooth jaw; reconstructing the basic form and the detail form of the occlusal surface of the defective tooth according to the jaw space position of the defective tooth in combination with a deep generative network model; reconstructing a full-crown restoration of the defective tooth according to the shape of the reconstructed occlusal surface of the defective tooth in combination with a restoration bonding layer structure and a middle connector, wherein when the basic form of the occlusal surface is reconstructed, a front-end network of the deep network model adopts the Wassertein distance as difference measurement; generating an occlusal surface basic form meeting a jaw space position relation. The confrontation loss promotes the distribution of a generated image to be close to a real image, and a perceptual feature loss function is introduced to punish a generated unreal occlusal surface image, so that the occlusal surface form closer to a target dental crown is reconstructed.

Description

technical field [0001] The present disclosure relates to the field of computer-aided biomedical engineering, in particular to a method for generating the shape of a functional full crown restoration assisted by a deep generation network. Background technique [0002] Most of the tooth restoration design methods continue the traditional hand-made restoration process. According to the restoration treatment plan, complex processes such as preparation, impression, mold, engraving wax-type, and casting are carried out; the production of the restoration requires multiple Adjustment, it is difficult to design a prosthesis suitable for the patient's masticatory function at one time, and it needs to be tried and adjusted many times before it can adapt to the oral environment, which may cause delays in the best treatment time and prolong the overall treatment time. [0003] Dental restoration technology based on digital design and manufacturing (CAD / CAM) has successfully introduced co...

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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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