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Noninvasive MR to 3D Rotational X-Ray Registration of Vertebral Bodies

机译:椎体的3D旋转X射线无创MR配准

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3D Rotational X-ray (3DRX) imaging can be used to intraoperatively acquire 3D volumes depicting bone structures in the patient. Registration of 3DRX to MR images, containing soft tissue information, facilitates image guided surgery on both soft tissue and bone tissue information simultaneously. In this paper, automated noninva-sive registration using maximization of mutual information is compared to conventional interactive and invasive point-based registration using the least squares fit of corresponding point sets. Both methods were evaluated on 3DRX images (with a resolution of 0.62x0.62x0.62 mm~3) and MRI images (with resolutions of 2x2x2 mm~3, 1.5x1.5x1.5 mm~3 and 1x1x1 mm~3) of seven defrosted spinal segments implanted with six or seven markers. The markers were used for the evaluation of the registration transformations found by both point- and maximization of mutual information based registration. The root-mean-squared-error on markers that were left out during registration was calculated after transforming the marker set with the computed registration transformation. The results show that the noninvasive registration method performs significantly better (p < 0.01) for all MRI resolutions than point-based registration using four or five markers, which is the number of markers conventionally used in image guided surgery systems.
机译:3D旋转X射线(3DRX)成像可用于在术中获取描绘患者骨骼结构的3D体积。将3DRX与包含软组织信息的MR图像配准,有助于同时对软组织和骨组织信息进行图像引导手术。在本文中,将使用互信息最大化的自动非侵入式注册与使用对应点集的最小二乘拟合的常规交互式和有创点式注册进行了比较。两种方法分别在3DRX图像(分辨率为0.62x0.62x0.62 mm〜3)和MRI图像(分辨率为2x2x2 mm〜3、1.5x1.5x1.5 mm〜3和1x1x1 mm〜3)上进行评估。七个除霜的脊柱节段,植入六个或七个标记。标记用于评估基于互信息的基于点和最大化的注册所发现的注册转换。用计算的配准转换对标记集进行转换后,计算在配准期间遗漏的标记的均方根误差。结果表明,与使用四个或五个标记的基于点的配准相比,无创配准方法在所有MRI分辨率下的性能均显着更好(p <0.01),这是图像引导手术系统中常规使用的标记数量。

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