了解错误模式:对刚性3D身体扫描中的对齐错误的分析.
Julian Meißner1,2, Michael Kisiel1, Nagarajan M Thoppey1
1BSN Medical GmbH, Schützenstraße 1-3, 22761 Hamburg, Germany.
Journal of imaging
|December 22, 2023
概括
在3D身体扫描中,对齐错误可能会对周长测量产生重大影响. 这项研究模拟了这些错误,发现了线性相关性,并提供了将测量不准确率降低高达84%的建议.
科学领域:
- 3D成像和计量学 3D成像和计量学
- 生物机械工程 生物机械工程
- 人类因素工程 人类因素工程
背景情况:
- 三维 (3D) 身体扫描仪越来越多地被用于各种领域.
- 准确评估3D人体扫描仪需要比较他们的3D点云与使用参考对象的参考系统.
- 扫描系统之间的坐标系统差异需要对齐,这可能引入转换和旋转错误.
研究的目的:
- 为了研究对齐错误对3D身体扫描仪获得的人体下半身周长测量的精度的影响.
- 分析模拟转换和旋转错位导致的特征性错误模式.
主要方法:
- 在3D扫描数据中模拟的转换和旋转错位错误.
- 分析了对齐错误与测量周长和平均身体轮变化之间的关系.
- 基于系统错误模式分析的推.
主要成果:
- 周长测量的总误差被发现包括翻译和倾斜元件.
- 在翻译误差和周长变化之间观察到强烈的线性相关性 (R2 = 0.900.97).
- 在倾斜误差和身体平均轮变化之间也发现了显著的线性相关性 (R2 = 0.550.78).
结论:
- 调整错误,特别是转换和倾斜,直接影响3D身体周长测量的准确性.
- 这些推,当应用到实际的3D身体扫描时,导致差异分别减少了67%和84%的错误.
- 这项研究为改善人类测量应用3D身体扫描可靠性的框架.
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