Digital stopper model designing and manufacturing method based on multi-source data

Abstract

The invention provides a digital stopper model designing and manufacturing method based on multi-source data. The method includes acquiring an optical scanning data file in a mouth; acquiring a spiralCT scanning data file of the maxillofacial region; importing the spiral CT scanning data file into the three-dimensional modeling software, and performing three-dimensional modeling to obtain the three-dimensional model data of the soft and hard tissue of the maxillofacial defect patient; designing a stopper composite model through reverse design software based on the three-dimensional model dataand the optical scanning data to obtain a personalized stopper model. Based on multi-source data fusion modeling, complete model data under the same coordinate system is formed, the personalized stopper model is obtained through reverse design, the clinical operation difficulty of the stopper impression is reduced, the clinical and patient making time is shortened, the clinical discomfort of thepatient is reduced, and the precision of the stopper model is improved; the technology can relieve the professional bottleneck caused by the fact that the number of the clinical maxillofacial repair specialized doctors is insufficient, and the popularization of the maxillofacial defect repair is facilitated.

Description

technical field [0001] The invention relates to a manufacturing method of medical equipment, in particular to a digital design and manufacturing method of a personalized occluder model. Background technique [0002] Patients with maxillary defects who require obstructor prostheses to block oronasal communication improve their pronunciation, chewing and swallowing problems. Therefore, it is very important to make an occluder prosthesis with good retention, good sealing and reasonable occlusal relationship. During the fabrication process, whether the anatomical shape of soft and hard tissues in the patient's mouth can be accurately obtained will directly determine whether the final prosthesis can achieve successful therapeutic effects. The production of traditional models relies on the clinical experience of specialists in maxillofacial restoration. Through complex steps and a variety of impression materials to obtain the structure of the patient's mouth, the operation is dif...

AI Technical Summary

Problems solved by technology

The production of traditional models relies on the clinical experience of specialists in maxillofacial restoration. Through complex steps and a variety of impression materials to obtain the structure of the patient's mouth, the operation is difficult, time-consuming, and the patient is prone to nausea and discomfort. There is a certain clinical risk

[0003] At present, some physicians use scanning data and computer modeling to obtain intraoral dentition data, but for patients with maxillary defects, the scan data of deep defect cavities cannot be obtained, which brings great benefits to the actual modeling work of patients with maxillary defects. great difficulty