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Patient-specific model of a scoliotic torso for surgical planning.

机译:用于手术计划的脊柱侧弯患者的特定于患者的模型。

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A method for the construction of a patient-specific model of a scoliotic torso for surgical planning via inter-patient registration is presented. Magnetic Resonance Images (MRI) of a generic model are registered to surface topography (TP) and X-ray data of a test patient. A partial model is first obtained via thin-plate spline registration between TP and X-ray data of the test patient. The MRIs from the generic model are then fit into the test patient using articulated model registration between the vertebrae of the generic model's MRIs in prone position and the test patient's X-rays in standing position. A non-rigid deformation of the soft tissues is performed using a modified thin-plate spline constrained to maintain bone rigidity and to fit in the space between the vertebrae and the surface of the torso. Results show average Dice values of 0.975 ± 0.012 between the MRIs following inter-patient registration and the surface topography of the test patient, which is comparable to the average value of 0.976 ± 0.009 previously obtained following intra-patient registration. The results also show a significant improvement compared to rigid inter-patient registration. Future work includes validating the method on a larger cohort of patients and incorporating soft tissue stiffness constraints. The method developed can be used to obtain a geometric model of a patient including bone structures, soft tissues and the surface of the torso which can be incorporated in a surgical simulator in order to better predict the outcome of scoliosis surgery, even if MRI data cannot be acquired for the patient.
机译:提出了一种通过患者间注册来构建用于手术计划的脊柱侧弯患者特定模型的方法。将通用模型的磁共振图像(MRI)记录到测试患者的表面形貌(TP)和X射线数据中。首先通过薄板样条配准在测试患者的TP和X射线数据之间获得局部模型。然后,通过俯卧位通用模型MRI的椎骨和直立位置测试患者的X射线之间的铰接模型配准,将通用模型的MRI装入测试患者。使用改良的薄板花键进行软组织的非刚性变形,变形的薄板花键受约束以保持骨骼刚度并适合椎骨与躯干表面之间的空间。结果显示,患者间注册后的MRI与受测患者的表面形貌之间的平均Dice值为0.975±0.012,与先前在患者内注册后获得的0.976±0.009的平均值相当。与严格的患者间登记相比,结果还显示出显着改善。未来的工作包括在更大的患者群中验证该方法,并纳入软组织刚度约束。所开发的方法可用于获得包括骨骼结构,软组织和躯干表面的患者的几何模型,可以将其合并到外科手术模拟器中,以便更好地预测脊柱侧弯手术的结果,即使MRI数据不能被患者接受。

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