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超骨UDF:基于神经未签名距离函数的超声波自主监督骨表面重建

Luohong Wu¹, Matthias Seibold¹, Nicola A Cavalcanti¹

¹Research in Orthopedic Computer Science, Balgrist University Hospital, University of Zurich, Lengghalde 5, Zurich, 8008, Switzerland.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

|December 27, 2025

概括

一个新的框架UltraBoneUDF增强了计算机辅助骨科手术 (CAOS) 的3D超声波数据的开放骨表面重建. 与现有方法相比,它提高了准确性并减少了错误.

科学领域:

医疗成像医学成像
计算机辅助手术计算机辅助手术
生物医学工程生物医学工程

背景情况:

超声波成像为计算机辅助骨科手术 (CAOS) 提供了一个无辐射的替代方案,但从3D超声波卷中重建部分骨表面仍然存在挑战.
现有的重建方法与超声波固有的数据变化和局限性作斗争,导致文物和不准确性.
从3D超声数据准确地重建开放的骨表面对于推进CAOS应用至关重要,但仍然是一个重大的技术挑战.

研究的目的:

开发一种新的自主监督框架,UltraBoneUDF,用于从3D超声数据准确的开放骨表面重建.
引入基于局部触平面优化的新损失函数,以提高表面重建质量.
对多个开源数据集的现有方法进行UltraBoneUDF性能评估.

主要方法:

提出了UltraBoneUDF,这是一个自我监督的框架,可以从3D超声数据中学习无符号距离函数 (UDF).
引入了一种新的损失函数,利用局部触平面优化来提高表面重建保真度.
在三个开源数据集上对竞争模型进行了UltraBoneUDF的基准测试,并进行了废除研究以验证.

主要成果:

在三个数据集中,UltraBoneUDF表现出优于或与最先进的方法相匹配的性能,实现更低的双向Chamfer距离.
取得了显著的改进,包括UltraBones100k数据集 (1.60毫米),OpenBoneCT的0.21毫米和ClosedBoneCT的0.18毫米的≈25.5%的增强.
拟议的方法使用较少的参数,同时提供高质量的表面重建,在质量和数量上优于现有技术.

结论:

UltraBoneUDF提供了一种强大而有效的解决方案,用于从3D超声波卷中重建开放的骨表面.
该框架显示了在计算机辅助骨科手术中改善术前规划和术内指导的巨大潜力.
这一进步解决了当前基于超声波的CAOS技术的关键局限性,为更广泛的临床采用铺平了道路.

关键词:

神经隐含表示的神经隐含表示.神经未签名距离功能神经未签名距离功能超声波骨表面重建的重建

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