Tooth root angle three-dimensional intelligent measurement method based on oral cavity CBCT image

By automatically calibrating the measurement points and calculating the three-dimensional measurement values ​​of the root angle in the three-dimensional image of the tooth, the problem of artificial error and instability in the measurement of tooth root angle in the prior art is solved, and higher measurement accuracy and stability are achieved.

CN119887630APending Publication Date: 2025-04-25TIANHE COLLEGE GUANGDONG POLYTECHNIC NORMAL UNIV
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Patent Information

Application Number
CN202411801806.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

The existing tooth root angle measurement method based on oral CBCT images has problems such as large artificial errors and unstable measurement results, making it difficult to accurately evaluate tooth root angle.

Method used

Using a three-dimensional intelligent measurement method of tooth root angle based on oral CBCT images, the Teeth-MambaSeg dental segmentation neural network model is constructed, and the teeth are automatically segmented and feature points are extracted to obtain the three-dimensional spatial coordinates of the teeth, thereby calculating the three-dimensional measurement value of the root angle.

Benefits of technology

It effectively reduces the artificial error of measuring point positioning, improves the stability and accuracy of measurement, avoids calculation errors caused by improper selection of two-dimensional sections, and provides a more medically defined measurement result for the root angle.

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Abstract

The invention relates to the technical field of tooth root angle measurement, and provides a tooth root angle three-dimensional intelligent measurement method based on an oral cavity CBCT image, and the method comprises the steps: constructing a Teeth-MambaSeg tooth segmentation neural network model for carrying out tooth segmentation on a to-be-measured oral cavity CBCT image; a training database is constructed, and the Teeth-MambaSeg tooth segmentation neural network model is trained; performing tooth segmentation on a to-be-measured oral cavity CBCT image through the trained Teeth-MambaSeg tooth segmentation neural network model, and projecting a single segmented tooth to a simulated two-dimensional projection plane to obtain a tooth simulated projection image; according to the tooth simulation projection image, feature points related to tooth root angle calculation are extracted, and three-dimensional space coordinates of the feature points are obtained; and obtaining a tooth root angle three-dimensional measurement value according to the three-dimensional space coordinates of the feature points. According to the invention, personal errors of measurement point positioning can be effectively reduced, and the stability and accuracy of tooth root angle measurement are improved.
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