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增强现实用于哨兵淋巴结活检

Peter A von Niederhäusern1, Carlo Seppi2, Robin Sandkühler2

  • 1Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland. peter.vonniederhaeusern@unibas.ch.

International journal of computer assisted radiology and surgery
|September 25, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个增强现实 (AR) 系统,以改善口腔癌的哨兵淋巴结活检. 增强现实可视化通过直接显示放射性追踪器位置,帮助淋巴结识别,减少了外科医生的认知负载.

关键词:
这就是为什么AR AR AR AR.增强现实是一种增强现实.马相机的马摄像头是什么马探测器的探测器这是一个反向问题.核医学是一种核医学.瑞士国家银行 (SNB) 的国家银行.哨兵淋巴结活组织检查

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科学领域:

  • 医疗成像医学成像
  • 手术技术 手术技术
  • 在瘤学瘤学.

背景情况:

  • 哨兵淋巴结活检 (SLNB) 对于诊断口腔和口腔状细胞癌的阶段至关重要.
  • 目前使用放射性追踪剂和音频探针的SLNB方法增加了外科医生的认知负载.
  • 增强现实 (AR) 提供了一个潜在的解决方案,以可视化痕迹积累和减少认知负担.

研究的目的:

  • 开发和验证口腔癌中SLNB的概念验证AR系统.
  • 评估系统重建和可视化放射性追踪器位置的能力.
  • 评估AR对减少活检期间外科医生的认知负担的影响.

主要方法:

  • 为了测试AR系统,进行了ex vivo实验.
  • 一个多针孔玛探测器从玛图像中重建了放射性源的3D位置.
  • 微软的HoloLens被用来在AR中可视化重建的源位置.

主要成果:

  • 该AR系统证明了单个放射源与其可视化之间的良好相关性,最大误差为4.47毫米.
  • 在单源重建中,SLNF算法实现了7.77mm的最大误差.
  • 重建两个源头带来了挑战,错误范围从2.23毫米到75.92毫米.

结论:

  • 在SLNB.AR中,AR系统对单个放射性源可视化非常有希望.
  • 同时重建和可视化多个源需要进一步的算法改进.
  • 这项技术有可能提高SLNB在口腔癌手术中的准确性和效率.