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Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
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使用边缘计算的内科手术增强现实用于玻璃网膜外科手术.

Run Zhou Ye1, Raymond Iezzi1

  • 1Department of Ophthalmology, Mayo Clinic, Rochester, MN 55905, USA.

Journal of personalized medicine
|January 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了用于玻璃视网膜外科手术的增强现实 (AR),使用卷积神经网络 (CNN) 和图像注册来将手术前数据叠加到外科领域,以提高精度.

关键词:
算法算法是一种算法.增强现实 (AR) 是一种增强现实.交叉相关性 交叉相关性边缘计算是一种边缘计算.图像注册 图像注册 图像注册语义细分 语义细分 语义细分 语义细分手术导航,手术导航,手术导航,手术导航,手术导航.张量处理单元的张量处理单元.玻璃甲状腺外科手术是什么?

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科学领域:

  • 眼科医生 眼科 眼科
  • 手术技术 手术技术
  • 医疗成像医学成像

背景情况:

  • 增强现实 (AR) 提供了在视网膜外科手术中增强可视化的潜力.
  • 微镜集成的数字成像可以实时分析和突出显示视网膜特征.
  • 卷积神经网络 (CNN) 允许视网膜血管细分,以创建坐标系统.

研究的目的:

  • 开发和测试一种新的图像注册算法,用于增强现实在玻璃视网膜外科手术.
  • 为了使手术前图像 (例如毛细血管不输液,视网膜断裂) 在手术场景上实时叠加.
  • 在像激光治疗或斑点手术这样的程序中提高安全性和精度.

主要方法:

  • 追溯分析了15个匿名的帕斯普拉纳玻璃切除术病例.
  • 开发一个张量处理单元 (TPU) 加速的CNN用于视网膜血管的语义细分.
  • 实现图像注册的代补丁智能交叉相关性 (IPCC) 算法.

主要成果:

  • 该CNN模型和图像注册算法在边缘TPU上实现了14FPS的处理速度.
  • IPCC算法在调整手术前和手术后图像方面表现出高的空间精度.
  • 处理速度优于其他标准硬件配置.

结论:

  • 由TPU加速的CNN增强的增强现实 (AR) 是可行的,用于玻璃视网膜外科手术.
  • 开发的图像注册算法显示了实时手术指导的前景.
  • 这项技术有可能改善手术结果和精度.