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相关概念视频

Computed Tomography01:10

Computed Tomography

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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...
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Tooth Anatomy01:21

Tooth Anatomy

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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...
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相关实验视频

Updated: Apr 13, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
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通过深度学习对牙科CBCT图像进行自动骨结构细分.

Yuan Tian1, Jin Hao2, Mingzheng Wang3

  • 1Angelalign Technology Inc., No. 500 Zhengli Road, Yangpu District, Shanghai, 200433, China. tianyuan@angelalign.com.

Clinical oral investigations
|November 28, 2024
PubMed
概括

这项研究介绍了一种深度学习系统,用于在束计算机断层扫描 (CBCT) 中对骨结构进行细分. 该系统精确地分割下和大骨,为牙科工作流程提供效率.

关键词:
人工智能的人工智能是人工智能.取消了无骨骨的细分.圆束计算机断层扫描技术皮层骨的骨细分 皮层骨的细分深度学习是一种深度学习.骨细分的划分 骨细分的划分

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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

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

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相关实验视频

Last Updated: Apr 13, 2026

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin
09:36

Outer-Boundary Assisted Segmentation and Quantification of Trabecular Bones by an Imagej Plugin

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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

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

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 牙科解剖学 牙科解剖学

背景情况:

  • 精确细分骨结构对于数字牙科至关重要.
  • 当前的细分方法可能是耗时和劳动密集的.

研究的目的:

  • 开发和评估一个双阶段的深度学习系统,用于自动细分下和上皮层和结骨.
  • 使用诸如子相似系数 (DSC) 和平均对称表面距离 (ASSD) 等指标来评估系统的性能.

主要方法:

  • 使用了155个CBCT扫描的数据集.
  • 为了实现自动细分,实施了两阶段的深度学习模型.
  • 对细分的性能进行了评估,并与手动细分进行了比较.

主要成果:

  • 该系统表现出高细分精度,平均DSC值在86.14%至96.83%之间.
  • 平均ASSD值低于0.41毫米,表明精确的边界划分.
  • 手动精制显示了与自动细分的高度重叠 (DSCs > 98.8%,ASSDs < 0.1 mm).

结论:

  • 开发的深度学习系统为CBCT图像上的骨细分提供了准确有效的方法.
  • 这项技术在增强数字临床工作流程方面具有重大潜力,有助于诊断和治疗规划.