对SlicerAutoscoperM的准确性评估 - - 软件用于跟踪多平面视频放射数据集中的骨结构
Amy M Morton1, John D Holtgrewe1, Jillian E Beveridge1
1Bioengineering Laboratory, Department of Orthopaedics, The Warren Alpert Medical School of Brown University and Brown University Health, Providence RI 02903, United States.
Journal of biomechanics
|June 14, 2025
概括
切片Autoscoper (SAM) 增强了使用双平面视频放射学的骨关节动力学无标记追踪. 这种经过验证的工具确保了准确的体内运动分析,促进了研究合作和临床翻译.
科学领域:
- 生物机械工程 生物机械工程
- 医学成像分析 医学成像分析
- 肌肉骨研究 研究
背景情况:
- 双平面视频放射 (BVR) 对于体内骨关节运动学至关重要.
- 无标记跟踪软件需要标准化,以更广泛的研究应用.
研究的目的:
- 介绍SlicerAutoscoper (SAM),这是一个升级的无标记追踪软件.
- 使用3DSlicer建立用于肌肉骨研究的标准化工作流程.
- 评估SAM用于跟踪多个骨关节的准确性和一致性.
主要方法:
- 集成的Autoscoper软件在3DSlicer中使用预处理模块.
- 通过将SAM衍生动力学与基于标记器的数据进行比较来评估准确性.
- 使用布兰德-阿尔特曼分析对脚,膝盖,肩膀和手腕关节的量化偏差和协议极限.
主要成果:
- 在所有四个骨关节中,SAM表现出强大的跟踪精度.
- 脚的平均误差为<0.5° (旋转) 和<0.8mm (转移).
- 膝盖,肩膀和手腕关节的跟踪显示出高准确度,转换和旋转误差最小.
结论:
- 切片Autoscoper (SAM) 是一个经过验证的,准确的工具,用于基于图像的骨运动跟踪.
- SAM促进了合作,方法协调,并降低了研究人员的障碍.
- 该软件支持转化为肌肉骨研究中的临床应用.
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