Oral implant precision evaluation method and system and terminal equipment

Abstract

The embodiment of the invention provides an oral implantation precision evaluation method and system and terminal equipment, and the method comprises the steps: obtaining a preoperative CBCT image of the oral cavity of a patient with a positioning guide plate, and recognizing an optical positioning mark point in the preoperative CBCT image to establish a preoperative local coordinate system; implanting the implant into the oral cavity of the patient according to the planned implant implanting position, wherein the implant implanting position comprises an apical point of the implant and an expected position of an implanting point in a preoperative local coordinate system; acquiring a postoperative CBCT image of the oral cavity of the patient with the positioning guide plate; identifying an optical positioning mark point in the postoperative CBCT image to establish a postoperative local coordinate system, and identifying actual positions of a root tip point and an implantation point; and according to the expected position and the actual position, calculating the position deviation corresponding to the root tip point and the implantation point and the angle deviation of the implant. The evaluation method can quickly, accurately and objectively evaluate the implantation precision of the implant.

Description

technical field [0001] The present application relates to the technical field of oral implantation, and in particular, to a method, system and terminal device for evaluating the accuracy of oral implantation. Background technique [0002] Robot-assisted oral implantation is a relatively popular technology field that has emerged in recent years. Robot-assisted implantation can improve the accuracy of implantation. The matching navigation system can display the implantation status in real time, providing objective and quantifiable information for doctors to judge the accuracy of implant placement. data and indicators. At present, there are two common methods for evaluating the accuracy of robotic navigation system-assisted implant placement: (1) The first one is based on the evaluation of 3D mesh model fusion. The fusion of the 3D mesh model reconstructed only based on the CBCT image (ie cone beam CT image) is affected by the reconstruction accuracy, and the error is large. ...

AI Technical Summary

Problems solved by technology

The fusion of the 3D mesh model reconstructed only based on the CBCT image (that is, the cone beam CT image) is affected by the reconstruction accuracy, and the error is large

There are both 3D models reconstructed from CBCT and 3D models reconstructed from oral scans. The process is complicated, time-consuming and expensive

(2) The second type is based on the evaluation after CBCT data fusion. The accuracy of image fusion is not high. After fusion, it is necessary to manually select the appropriate section view to mark the apical point and implantation point of the implant. The operation process is complicated and artificial. Operating errors will directly affect the accuracy of measurement results

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