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3d Reconstruction Of A Femoral Shape Using A Parametric Model And Two 2d Fluoroscopic Images

机译:使用参数模型和两个2d透视图像对股骨形状进行3d重建

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In medical diagnostic imaging, the X-ray CT scanner and the MRI system have been widely used to examine 3D shapes and internal structures of living organisms and bones. However, these apparatuses are generally large and very expensive. Since an appointment is also required before examination, these systems are not suitable for urgent fracture diagnosis in emergency treatment. However, X-ray/fluoroscopy has been widely used as traditional medical diagnosis. Therefore, the realization of the reconstruction of precise 3D shapes of living organisms or bones from a few conventional 2D fluoroscopic images might be very useful in practice, in terms of cost, labor, and radiation exposure. The present paper proposes a method by which to estimate a patient-specific 3D shape of a femur from only two fluoroscopic images using a parametric femoral model. First, we develop a parametric femoral model by the statistical analysis of 3D femoral shapes created from CT images of 56 patients. Then, the position and shape parameters of the parametric model are estimated from two 2D fluoroscopic images using a distance map constructed by the Level Set Method. Experiments using synthesized images, fluoroscopic images of a phantom femur, and in vivo images for hip prosthesis patients are successfully carried out, and it is verified that the proposed system has practical applications.
机译:在医学诊断成像中,X射线CT扫描仪和MRI系统已广泛用于检查生物体和骨骼的3D形状和内部结构。但是,这些设备通常很大并且非常昂贵。由于检查前也需要预约,因此这些系统不适用于紧急治疗中的紧急骨折诊断。然而,X射线/荧光检查已被广泛用作传统医学诊断。因此,从成本,人工和辐射暴露方面,从一些常规的2D透视图像重建活生物体或骨骼的精确3D形状可能在实践中非常有用。本文提出了一种使用参数化股骨模型仅从两个透视图像中估计患者特定的股骨3D形状的方法。首先,我们通过对56例患者的CT图像创建的3D股骨形状进行统计分析,建立了参数化股骨模型。然后,使用通过“水平集”方法构造的距离图,从两个2D荧光透视图像中估计参数模型的位置和形状参数。使用合成图像,幻影股骨的透视图像和髋关节假体患者的体内图像成功进行了实验,并验证了该系统具有实际应用价值。

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