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自动地标注释用于远距离大腿骨和靠近的小腿骨的形态分析

Jonas Grammens^1,2, Annemieke Van Haver³, Imelda Lumban-Gaol⁴

¹Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), University of Antwerp, Wilrijk, 2610 Antwerp, Belgium.

Journal of imaging

|April 26, 2024

概括

与手动标记相比,膝关节骨分析的自动化方法显著减少了时间和操作员的变化. 这项创新为骨科诊断和个性化治疗提供了更快,更可靠的方法.

科学领域:

骨科生物力学骨科生物力学
医学成像分析分析医学成像分析
计算解剖学的计算解剖学

背景情况:

用于膝关节骨形态测量的手动解剖标志是耗时的,容易导致操作员的显著变化.
这种变化影响了骨科诊断和个性化治疗的准确性,包括植入物大小和风险评估.

研究的目的:

开发和验证一种自动化的方法,用于在3D膝关节骨模型上进行解剖标志性注释,这些模型来自MRI.
为了比较自动化方法的准确性,可靠性和效率与多名专家手动地标.

主要方法:

由三位专家在20个基于MRI的3D骨和软骨模型上进行手动地标注释.
使用模板形状的弹性变形和地标优化的自动注释技术的开发.
将自动化结果与专家推导的地面真相进行比较,评估地标位置和形态测量测量.

主要成果:

与手动方法相比,自动地标提取显示了2.05毫米的平均差异.
自动形态测量测量与手动测量的平均差异为0.78毫米.
92%的自动地标和95%的测量都在专家手段的可接受公差范围内 (分别为4毫米和2毫米).
自动注释将操作员的时间从18分钟缩短到7分钟的计算时间,具有高可靠性 (ICC 0.926-1).

结论:

自动化地标注释方法在膝关节骨形态分析中表现出高准确度和可靠性.
这种自动化方法在效率,标准化和操作员独立性方面比手工方法大大提高.
开发的算法促进了更快,更可扩展,更一致的骨科诊断和个性化治疗规划.

关键词:

3D地标分析 3D地标分析膝盖核磁共振成像形态测量方法形态测量方法形态测量方法骨科骨科医生骨科医生

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