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用于引导正畸微种植体植入的颌骨自动分割,以提高其稳定性和精度。

Automatic Segmentation of the Jaws Used in Guided Insertion of Orthodontic Mini Implants to Improve Their Stability and Precision.

机构信息

"Victor Babes" University of Medicine and Pharmacy Timisoara, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania.

Department of Radiology, "Victor Babes" University of Medicine and Pharmacy Timisoara, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania.

出版信息

Medicina (Kaunas). 2024 Oct 10;60(10):1660. doi: 10.3390/medicina60101660.

Abstract

With the goal of identifying regions with bicortical bone and avoiding root contact, the present study proposes an innovative technique for the simulation of the insertion of mini orthodontic implants using automatic jaw segmentation. The simulation of mini implants takes place in 3D rendering visualization instead of Multi-Planar Reconstruction (MPR) sections. The procedure involves utilizing software that automatically segments the jaw, teeth, and implants, ensuring their visibility in 3D rendering images. These segmented files are utilized as study models to determine the optimum location for simulating orthodontic implants, in particular locations characterized by limited distances between the implant and the roots, as well as locations where the bicortical structures are present. By using this method, we were able to simulate the insertion of mini implants in the maxilla by applying two cumulative requirements: the implant tip needs to be positioned in a bicortical area, and it needs to be situated more than 0.6 mm away from the neighboring teeth's roots along all of their axes. Additionally, it is possible to replicate the positioning of the mini implant in order to distalize the molars in the mandible while avoiding the mandibular canal and the path of molar migration. The utilization of automated segmentation and visualization techniques in 3D rendering enhances safety measures during the simulation and insertion of orthodontic mini implants, increasing the insertion precision and providing an advantage in the identification of bicortical structures, increasing their stability.

摘要

本研究旨在确定具有双皮质骨的区域并避免与根接触,提出了一种使用自动颌骨分割模拟微型正畸植入物插入的创新技术。微型植入物的模拟是在 3D 渲染可视化中进行的,而不是在多平面重建 (MPR) 切片中进行。该程序涉及使用软件自动分割颌骨、牙齿和植入物,以确保在 3D 渲染图像中可见。这些分割文件用作研究模型,以确定模拟正畸植入物的最佳位置,特别是在植入物和根之间距离有限的位置,以及存在双皮质结构的位置。通过使用这种方法,我们能够通过应用两个累积要求来模拟在上颌骨中插入微型植入物:植入物尖端需要定位在双皮质区域,并且需要在所有轴向上距离相邻牙齿的根超过 0.6 毫米。此外,可以复制微型植入物的定位,以便在下颌中远移磨牙,同时避免下颌管和磨牙迁移路径。在 3D 渲染中使用自动分割和可视化技术可以提高正畸微型植入物模拟和插入过程中的安全性措施,提高插入精度,并在识别双皮质结构方面具有优势,增加其稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f82/11509293/fb7367150154/medicina-60-01660-g001.jpg

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