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Multimodal image registration of the scoliotic torso for surgical planning

机译:脊柱侧弯多模式图像配准用于手术计划

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Background This paper presents a method that registers MRIs acquired in prone position, with surface topography (TP) and X-ray reconstructions acquired in standing position, in order to obtain a 3D representation of a human torso incorporating the external surface, bone structures, and soft tissues. Methods TP and X-ray data are registered using landmarks. Bone structures are used to register each MRI slice using an articulated model, and the soft tissue is confined to the volume delimited by the trunk and bone surfaces using a constrained thin-plate spline. Results The method is tested on 3 pre-surgical patients with scoliosis and shows a significant improvement, qualitatively and using the Dice similarity coefficient, in fitting the MRI into the standing patient model when compared to rigid and articulated model registration. The determinant of the Jacobian of the registration deformation shows higher variations in the deformation in areas closer to the surface of the torso. Conclusions The novel, resulting 3D full torso model can provide a more complete representation of patient geometry to be incorporated in surgical simulators under development that aim at predicting the effect of scoliosis surgery on the external appearance of the patient’s torso.
机译:背景技术本文提出了一种方法,该方法可记录俯卧位置获取的MRI,表面形态(TP)和直立位置获取的X射线重建图像,从而获得结合了外表面,骨骼结构和软组织。方法TP和X射线数据使用界标注册。使用关节模型使用骨骼结构记录每个MRI切片,并使用约束的薄板样条将软组织限制在由躯干和骨骼表面界定的体积内。结果该方法在3例脊柱侧弯的术前患者中进行了测试,与刚性和铰接模型配准相比,该方法在定性和使用Dice相似系数方面显示出显着改善,使MRI适合站立患者模型。配准变形的雅可比行列式的决定因素表明,在靠近躯干表面的区域中变形的变化较大。结论新颖,最终的3D全躯干模型可以提供更完整的患者几何图形,以将其整合到正在开发的手术模拟器中,旨在预测脊柱侧弯手术对患者躯干外观的影响。

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