IMT Atlantique, LaTIM U1101 INSERM, UBL, Brest, France.
University of Western Brittany, LaTIM U1101 INSERM, CHRU of Brest, Brest, France.
J Biomech. 2019 Mar 27;86:193-203. doi: 10.1016/j.jbiomech.2019.02.007. Epub 2019 Feb 20.
In this paper, we propose a method for non-invasively measuring three-dimensional in vivo kinematics of the ankle joint from a dynamic MRI acquisition of a single range-of-motion cycle. The proposed approach relies on an intensity-based registration method to estimate motion from multi-plane dynamic MRI data. Our approach recovers not only the movement of the skeleton, but also the possibly non-rigid temporal deformation of the joint. First, the rigid motion of each ankle bone is estimated. Second, a four-dimensional (3D+time) high-resolution dynamic MRI sequence is estimated through the use of the log-euclidean framework for the computation of temporal dense deformation fields. This approach has been then applied and evaluated on in vivo dynamic MRI data acquired for a pilot study on six healthy pediatric cohort in order to establish in vivo normative joint biomechanics. Results demonstrate the robustness of the proposed pipeline and very promising high resolution visualization of the ankle joint.
在本文中，我们提出了一种从单运动范围周期的动态 MRI 采集非侵入式测量踝关节三维体内运动学的方法。所提出的方法依赖于基于强度的配准方法来从多平面动态 MRI 数据估计运动。我们的方法不仅恢复了骨骼的运动，还恢复了关节可能的非刚性时间变形。首先，估计每个踝关节骨的刚性运动。其次，通过使用对数欧几里得框架计算时间密集变形场来估计 4D（3D+时间）高分辨率动态 MRI 序列。该方法已应用于为六个健康儿科队列的初步研究获取的体内动态 MRI 数据，并进行了评估，以便建立体内正常关节生物力学。结果表明，所提出的流水线具有很强的鲁棒性，并且对踝关节进行了非常有前途的高分辨率可视化。
