Laplacian肌肉骨骼变形患者特异性模拟和可视化

Youbing Zhao, G. Clapworthy, J. Kohout, F. Dong, Yubo Tao, Hui Wei, N. McFarlane
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引用次数: 3

摘要

在许多生物医学应用中,通常需要基于特定患者的肌肉骨骼模型来模拟、分析和可视化特定患者的动态。然而,直接从医学图像中重建患者特异性模型是高度劳动密集型的,在临床环境中不切实际。一种更有效的方法是从使用患者特异性提示的寰肌骨骼模型中推导出它。本文引入拉普拉斯网格处理,基于从两张正交临床图像中提取的患者特异性地标,并采用最小二乘误差优化,将地图集模型变形为患者特异性模型。在这个过程中,寰椎中的肌肉附着标志和运动标志也会发生变化。通过补充的表面间标志可以防止漂移和表面间穿透。网格简化和重建是为了避免由于试图在高分辨率下变形模型而导致的内存不足故障。
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Laplacian Musculoskeletal Deformation for Patient-Specific Simulation and Visualisation
In many biomedical applications, it is often desired to simulate, analyse and visualise the dynamics of a particular patient based on a patient-specific musculoskeletal model. However, reconstructing a patient-specific model directly from medical images is highly labour intensive, and impractical in the clinical context. A more efficient method is to derive it from an atlas musculoskeletal model using patient-specific hints. In this paper, Laplacian mesh processing is introduced to deform an atlas model to a patient-specific model, based on patient-specific landmarks extracted from two orthogonal clinical images and using least-squares error optimization. Muscle attachment landmarks and motion landmarks in the atlas are also transformed as part of the process. Drift and inter-surface penetrations are prevented by supplementary inter-surface landmarks. Mesh simplification and reconstruction are used to avoid out-of-memory failures that may result from trying to deform models at high resolution.
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