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相关实验视频

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面3D形态测量分析使用基于智能手机的摄影仪表.

Omar C Quispe-Enriquez1, Juan José Valero-Lanzuela1, José Luis Lerma1

  • 1Photogrammetry and Laser Scanner Research Group (GIFLE), Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
概括
此摘要是机器生成的。

智能手机摄像度学准确地捕捉了用于医疗用途的面3D模型. 该方法为创建详细的头部3D模型提供了一个可访问的替代方案,这对于外科计划和研究至关重要.

关键词:
3D模型是3D模型.通过3D扫描扫描.头骨 面部 面部摄影计量 (摄影计量) 是一种摄影计量技术.智能手机是一种智能手机设备.

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科学领域:

  • 医疗成像医学成像
  • 生物技术是生物技术.
  • 计算机科学 计算机科学

背景情况:

  • 3D面形态测量数据对于医学和教育领域至关重要.
  • 准确的3D头部模型对于诸如手术规划等应用至关重要.

研究的目的:

  • 评估基于智能手机的摄影仪表,以创建精确的面3D模型.
  • 为了比较使用照片与视频用于3D模型生成的有效性.

主要方法:

  • 在志愿者和模型上使用三星Galaxy S22智能手机获得了面3D模型.
  • 使用Agisoft Metashape和PhotoMeDAS软件处理的数据.
  • 与高精度白光扫描仪 (Academia 50) 相比验证了结果.

主要成果:

  • 用照片进行的摄像度测量得出了0.22 ± 1.29毫米的网格精度.
  • 使用视频进行视频图表测量,可以达到0.47 ± 1.43毫米的精度.
  • PhotoMeDAS软件显示0.39 ± 1.02毫米的精度,与线性测量在0.75毫米 (摄影计),1毫米 (视频计) 和1.25毫米 (PhotoMeDAS).

结论:

  • 智能手机摄影计,使用照片或视频,为获得面3D模型提供了一种可行的方法.
  • 这种技术在神经外科和大面部手术中具有显著的潜在应用.
  • 该研究强调了基于智能手机的3D面数据采集的可访问性和准确性.