Wiseman Ashleigh L A, Demuth Oliver E, Hutchinson John R
Structure and Motion Laboratory, Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London NW1 0TU, UK.
Integr Org Biol. 2022 Jan 27;4(1):obac002. doi: 10.1093/iob/obac002. eCollection 2022.
X-ray Reconstruction of Moving Morphology (XROMM) permits researchers to see beneath the skin, usually to see musculoskeletal movements. These movements can be tracked and later used to provide information regarding the mechanics of movement. Here, we discuss ""-a method that combines inverse kinematic solvers with that of traditional scientific rotoscoping methods to quickly and efficiently overlay 3D bone geometries with the X-ray shadows from XROMM data. We use a case study of three Nile crocodiles' () forelimbs and hindlimbs to evaluate this method. Within these limbs, different marker configurations were used: some configurations had six markers, others had five markers, and all forelimb data only had three markers. To evaluate IK marker-guided rotoscoping, we systematically remove markers in the six-marker configuration and then test the magnitudes of deviation in translations and rotations of the rigged setup with fewer markers versus those of the six-marker configuration. We establish that IK marker-guided rotoscoping is a suitable method for "salvaging" data that may have too few markers.
运动形态的X射线重建（XROMM）使研究人员能够透视皮肤，通常用于观察肌肉骨骼的运动。这些运动可以被追踪，随后用于提供有关运动力学的信息。在此，我们讨论一种方法，该方法将逆运动学求解器与传统的科学动态描绘方法相结合，以便快速、高效地将三维骨骼几何形状与来自XROMM数据的X射线阴影叠加。我们以三只尼罗鳄（）的前肢和后肢为例来评估该方法。在这些肢体中，使用了不同的标记配置：一些配置有六个标记，另一些有五个标记，并且所有前肢数据只有三个标记。为了评估基于标记的逆运动学动态描绘，我们系统地移除六标记配置中的标记，然后测试与六标记配置相比，标记较少的装配设置在平移和旋转方面的偏差大小。我们确定基于标记的逆运动学动态描绘是一种适用于“挽救”标记可能过少的数据的方法。
