首页> 外文会议>IASTED international conference on biomedical engineering;BioMED 2010 >FRACTURED BONE POSITION AND SHAPE ESTIMATION BASED ON RECURSIVE 2-D/3-D REGISTRATION OF DEFORMABLE MODELS
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FRACTURED BONE POSITION AND SHAPE ESTIMATION BASED ON RECURSIVE 2-D/3-D REGISTRATION OF DEFORMABLE MODELS

机译:基于变形模型的递归2-D / 3-D配准的骨折骨位置和形状估计

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We present a deformable model based registration method to estimate bone fragment position and shape from intra-operative X-ray images for two-part bone fracture. Conventional deformable models are generated from CT volume images of normal persons. Thus it is difficult to describe diseased or broken bone shapes. For applying deformable model based registration to bone fractures, we propose a novel mathematical manner in the optimization process of registration. In the pre-processing, contour points on each X-ray image are interactively labelled as each of the fragment parts. In the registration stage, optimizations for bone position estimation and bone shape deformation are recursively performed by following the mathematical manner of projection onto convex sets (POCS). Our method provides not only fragment positions and a reduced bone shape but also relative transformation matrix between one fragment and the other. Because the relative matrix can lead the reducing motion path, our method effectively performs in the registration process for bone fracture surgeries. In the experiments, the error was 0.9 mm for translation and 11.8 degree for rotation. The shape estimation error was 10.9 % of the error volume ratio comparing with the whole volume of the deformable models.
机译:我们提出了一种基于可变形模型的配准方法,以从两部分骨折的术中X射线图像估计骨碎片的位置和形状。传统的可变形模型是根据正常人的CT体积图像生成的。因此,很难描述患病或骨折的骨骼形状。为了将基于可变形模型的配准应用于骨折,我们在配准的优化过程中提出了一种新颖的数学方法。在预处理中,每个X射线图像上的轮廓点都被交互标记为每个碎片部分。在配准阶段,通过遵循投影到凸集(POCS)的数学方式来递归地执行骨骼位置估计和骨骼形状变形的优化。我们的方法不仅提供碎片位置和减小的骨骼形状,而且提供一个碎片与另一个碎片之间的相对转换矩阵。因为相对矩阵可以引导运动路径减少,所以我们的方法在骨折手术的配准过程中有效执行。在实验中,平移误差为0.9毫米,旋转误差为11.8度。与可变形模型的总体积相比,形状估计误差为误差体积比的10.9%。

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