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A shape based rotation invariant method for ultrasound-MR image registration: A phantom study

机译:基于形状的旋转不变方法进行超声-MR图像配准的模型研究

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摘要

In this work, a new shape based method to improve the accuracy of Brain Ultrasound-MRI image registration is proposed. The method is based on modified Shape Context (SC) descriptor in combination with CPD algorithm. An extensive experiment was carried out to evaluate the robustness of this method against different initialization conditions. As the results prove, the overall performance of the proposed algorithm outperforms both SC and CPD methods. In order to have control over the registration procedure, we simulated the deformations, missing points and outliers according to our Phantom MRI images.
机译:在这项工作中,提出了一种新的基于形状的方法来提高脑超声MRI图像配准的准确性。该方法基于修改后的形状上下文(SC)描述符并结合CPD算法。进行了广泛的实验,以评估该方法针对不同的初始化条件的鲁棒性。结果证明,该算法的整体性能优于SC和CPD方法。为了控制配准过程,我们根据幻影MRI图像模拟了变形,缺失点和离群值。

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