Comte Nicolas, Pujades Sergi, Courvoisier Aurélien, Daniel Olivier, Franco Jean-Sébastien, Faure François, Boyer Edmond
Anatoscope, 38330 Montbonnot-Saint-Martin, France.
Inria, Université Grenoble Alpes, CNRS, Grenoble INP, LJK, 38000 Grenoble, France.
Bioengineering (Basel). 2023 Jul 24;10(7):874. doi: 10.3390/bioengineering10070874.
Adolescent idiopathic scoliosis is a three-dimensional spinal deformity that evolves during adolescence. Combined with static 3D X-ray acquisitions, novel approaches using motion capture allow for the analysis of the patient dynamics. However, as of today, they cannot provide an internal analysis of the spine in motion. In this study, we investigated the use of personalized kinematic avatars, created with observations of the outer (skin) and internal shape (3D spine) to infer the actual anatomic dynamics of the spine when driven by motion capture markers. Towards that end, we propose an approach to create a subject-specific digital twin from multi-modal data, namely, a surface scan of the back of the patient and a reconstruction of the 3D spine (EOS). We use radio-opaque markers to register the inner and outer observations. With respect to the previous work, our method does not rely on a precise palpation for the placement of the markers. We present the preliminary results on two cases, for which we acquired a second biplanar X-ray in a bending position. Our model can infer the spine motion from mocap markers with an accuracy below 1 cm on each anatomical axis and near 5 degrees in orientations.
青少年特发性脊柱侧弯是一种在青少年时期发展的三维脊柱畸形。结合静态3D X光采集，使用动作捕捉的新方法能够分析患者的动态情况。然而，截至目前，它们无法对运动中的脊柱进行内部分析。在本研究中，我们调查了使用个性化运动学虚拟模型的情况，该模型通过对外部（皮肤）和内部形状（3D脊柱）的观察创建，以推断在动作捕捉标记驱动下脊柱的实际解剖动力学。为此，我们提出了一种从多模态数据创建特定于个体的数字孪生的方法，即对患者背部进行表面扫描并重建3D脊柱（EOS）。我们使用不透射线的标记来配准内部和外部观察结果。与之前的工作相比，我们的方法不依赖于精确触诊来放置标记。我们展示了两个病例的初步结果，为此我们在弯曲位置采集了第二次双平面X光。我们的模型可以根据动作捕捉标记推断脊柱运动，在每个解剖轴上的精度低于1厘米，在方向上接近5度。
