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Model-based 3D segmentation of the bones of the ankle and subtalar joints in MR images

机译:基于模型的MR图像中踝关节和距下关节骨的3D分割

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Our ongoing project on the kinematic analysis of the joints of the foot and ankle via magnetic resonance (MR) imaging requires segmentation of bones in images acquired at different positions of the joint. This segmentation requires an extensive amount of operator time, especially for the current study involving 300 scenes and 4 bones to be segmented in each scene. A 3D model-based segmentation approach is developed wherein the model is generated from the segmentation of a specific bone from one scene and is used for segmenting the same bone in all other scenes. This method works in two sequential steps. In the first step, the patient- and bone-specific model is generated by segmenting the target bone from one scene using the live wire method. In the second step, the segmentation of the same bone for the same patient in a scene corresponding to another ankle position is obtained by finding an optimum rigid body transformation to minimize its fitting energy. The fitting energy utilized captures both boundary- and region-based information in a unified manner. This method has produced satisfactory results for the 30 pairs of images used for evaluation. The model-based segmentation method will significantly reduce the operator time required by our ongoing study.
机译:我们正在进行的有关通过磁共振(MR)成像对脚和踝关节进行运动学分析的项目要求对在关节不同位置获取的图像中的骨骼进行分割。这种分割需要大量的操作员时间,特别是对于当前涉及300个场景和每个场景要分割4个骨骼的研究而言。开发了一种基于3D模型的分割方法,其中该模型是根据一个场景中特定骨骼的分割生成的,并用于在所有其他场景中分割同一骨骼。此方法分两个连续步骤工作。第一步,通过使用带电导线方法从一个场景中分割目标骨骼,生成特定于患者和骨骼的模型。在第二步中,通过找到最佳刚体变形以最小化其拟合能量,来获得与另一个脚踝位置相对应的场景中同一患者的相同骨骼的分割。利用的拟合能量以统一的方式捕获基于边界和基于区域的信息。对于用于评估的30对图像,该方法已产生令人满意的结果。基于模型的分割方法将大大减少我们正在进行的研究所需的操作员时间。

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