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相关概念视频

Muscles for Facial Expressions01:14

Muscles for Facial Expressions

The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role of...

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相关实验视频

Updated: Jul 6, 2026

Treatment of Facial Deformities using 3D Planning and Printing of Patient-Specific Implants
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用扩散模型预测 ортогнатик手术的面部外观预测.

Jungwook Lee1, Xuanang Xu1, Daeseung Kim2

  • 1Department of Biomedical Engineering and the Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.

Medical image analysis
|January 16, 2026
PubMed
概括

这项研究介绍了FAPOS,这是一个新的人工智能框架,用于规划形手术. 它预测最佳的面部外观,以指导骨变化,改善患者特定的美学结果.

关键词:
扩散模型是一个扩散模型.大规模的预培训.整形手术 整形手术 整形手术软组织驱动的规划

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科学领域:

  • 计算机视觉 计算机视觉
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 整形手术纠正了面部形,但传统的规划是骨驱动的,限制了美学优化.
  • 目前的方法与外科医生偏见作斗争,并预测患者特定的软组织结果.
  • 一种软组织驱动的方法旨在首先预测理想的面部外观,然后确定必要的骨调整.

研究的目的:

  • 引入FAPOS (面部外观预测用于骨架外科手术),这是软组织驱动的手术规划的新框架.
  • 为了能够从手术前扫描中直接预测患者特定的,看起来正常的3D面部结果.
  • 为了克服数据稀缺和面部数据集不匹配的局限性.

主要方法:

  • 开发了FAPOS,一种基于变压器的隐性扩散模型,用于3D面部结果预测.
  • 在44602个公共3D面孔上训练了282个地标的密集表示.
  • 采用了三个阶段的培训管道:几何编码,潜伏扩散建模和患者特定的调节.

主要成果:

  • FAPOS成功地预测了正常外观的3D面部结果,用于整形手术规划.
  • 与以前的方法相比,该框架显示了面部对称性和身份保护的改进.
  • 定量和定性分析证实了FAPOS的卓越性能.

结论:

  • FAPOS代表了在实现软组织驱动的整形手术规划方面取得的重大进展.
  • 预测的最佳面部目标有助于估计所需的骨调整.
  • 这种方法可以在牙面外科手术中实现更为特定于患者的美学优化.