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相关概念视频

Tooth Anatomy01:21

Tooth Anatomy

1.0K
The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
1.0K
Computed Tomography01:10

Computed Tomography

6.3K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
6.3K

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相关实验视频

Updated: Sep 15, 2025

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

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牙轴:基于CBCT或IOS模型的通用牙轴估计网络.

Nan Bao, Qingyao Luo, Jiamin Wu

    IEEE journal of biomedical and health informatics
    |July 17, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了ToothAxis,一个新的AI网络,用于从3D牙科扫描中准确估计牙轴. 该系统通过自动化这一至关重要的测量来提高牙科手术 (如正牙科和植入物) 的精度.

    更多相关视频

    A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
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    A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

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    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
    05:49

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

    Published on: February 23, 2024

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    相关实验视频

    Last Updated: Sep 15, 2025

    Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
    07:32

    Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

    Published on: February 23, 2024

    1.3K
    A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth
    10:50

    A Finite Element Approach for Locating the Center of Resistance of Maxillary Teeth

    Published on: April 8, 2020

    9.7K
    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
    05:49

    Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

    Published on: February 23, 2024

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    科学领域:

    • 生物医学工程 生物医学工程
    • 计算机视觉 计算机视觉
    • 牙科成像 牙科成像 牙科成像

    背景情况:

    • 准确的牙轴估计对于牙科应用,如正牙科和植入物至关重要.
    • 目前的方法依赖于手动注释,这耗时且容易出现错误.
    • 圆束计算机断层扫描 (CBCT) 和口腔内扫描 (IOS) 的数字3D牙科模型是标准的,但对轴检测有局限性.

    研究的目的:

    • 开发一种自动化,准确的方法,用3D牙科模型来估计牙轴.
    • 为了应对口腔内扫描中不完整的根信息的挑战.
    • 在临床环境中提高牙轴测量的效率和可靠性.

    主要方法:

    • 提出了一个新的两阶段深度学习网络ToothAxis.
    • 第1阶段:基于隐式功能的3D牙完成,用于口腔内扫描数据.
    • 第二阶段:以点偏移为基础的模块,用于对牙轴的估计,增强了对类特定特征的关注.

    主要成果:

    • 在CBCT数据 (LA:2.921°,PSA:4.801°,LSA:5.074°) 上,ToothAxis实现了地标轴 (LA),后侧斜轴 (PSA) 和侧侧斜轴 (LSA) 的低角度误差.
    • 对于IOS数据 (LA:5.326°,PSA:6.360°,LSA:6.520°) 也获得了类似的准确性.
    • 与现有的最先进的方法相比,该方法显示出更高的性能.

    结论:

    • 牙轴网络提供精确和自动化的牙轴估计从CBCT和IOS牙科模型.
    • 两阶段的方法有效地处理数据限制,特别是IOS.中缺少根信息的缺失.
    • 这种自动化方法有可能显著有利于正统牙科和牙科植入物程序.