Method and system for making dental restoration model based on multi-source images

Abstract

The present invention provides a method for making a tooth restoration model based on multi-source images. The method determines the standard two corresponding to the edge shape of the tooth to be restored based on the edge shape of the tooth to be restored in the digital image of the facial smile obtained. The crown veneer is obtained to obtain the two-dimensional digital model of the crown veneer; then, the two-dimensional digital model of the crown veneer is adjusted to obtain a two-dimensional simulated restoration model that conforms to the characteristics of the facial smile; then, based on the two-dimensional simulation The restorative model and the 3D digital model of the crown in the mouth were used to obtain a 3D simulated restorative model that conforms to the characteristics of a facial smile; finally, based on the Dicom 3D volume model taken by oral CBCT, it was registered and fused with the 3D simulated restorative model, and the obtained model can be used for dental restoration. Crown restoration measurement, root change diagnosis and other clinical analysis. The invention can provide an effective guidance basis for oral restoration and tooth change prediction.

Description

technical field [0001] The present invention relates to a multi-source image-based multi-source image-based method and system for making anterior tooth restoration models, in particular to the use of multi-source image data for automatic analysis of intraoral imaging, and according to the measurement data, an intraoral restoration conforming to the aesthetic characteristics of facial smiles is generated. Method and system for body modeling. Background technique [0002] In the traditional oral restoration process, the dentist usually prepares the tooth and takes an impression after taking a picture of the patient, then sends the model to the production room, and allows the technician to make the restoration according to the conditions of the model, and finally the doctor puts the restoration into the patient's mouth . Common problems in such oral restoration methods include: 1) The key factors of aesthetic restoration are shape and color, and oral communication obviously ca...

AI Technical Summary

Problems solved by technology

Common problems in such oral restoration methods include: 1) The key factors of aesthetic restoration are shape and color, and oral communication obviously cannot accurately and scientifically convey various key parameters in aesthetic restoration; 2) A single black and white X-ray film cannot Accurately reflect the shape and problems of tooth defects, and at the same time, readers will cause large deviations when viewing films based on personal experience; 3) Without multi-source data such as facial case photos, CT and intraoral 3D models, it is impossible to present the results based on maxillofacial restoration. The final result is that the accuracy of dental restoration in the oral cavity is high, and errors will cause repeated revisions of the restoration; 4) There will be large errors in taking the impression of the traditional model, and the technicians of the denture factory will make the restoration entirely based on experience, which is inefficient

For example, low-dose CBCT equipment is suitable for the acquisition of three-dimensional volume data (skeletal, nerve, muscle, etc.) of patients with various craniofacial defects. The scanning range covers the entire cranial and maxillofacial area, but the highest accuracy can only reach 0.1mm at present; Although the laser scanning technology is only suitable for obtaining the surface morphology of the patient's oral crown, oral mucosa surface, and facial contours, the accuracy can reach 0.02mm

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