首页> 外文会议>MICCAI 2011;International conference on medical image computing and computer-assisted intervention >Model-Based Deformable Registration of Preoperative 3D to Intraoperative Low- Resolution 3D and 2D Sequences of MR Images
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Model-Based Deformable Registration of Preoperative 3D to Intraoperative Low- Resolution 3D and 2D Sequences of MR Images

机译:术前3D向术中MR图像的低分辨率3D和2D序列的基于模型的可变形配准

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We have developed an automatic model-based deformable registration method applicable to MR soft-tissue imaging. The registration algorithm uses a dynamic finite element (FE) continuum mechanics model of the tissue deformation to register its 3D preoperative images with intraoperative 1) 3D low-resolution or 2) 2D MR images. The registration is achieved through a filtering process that combines information from the deformation model and observation errors based on correlation ratio, mutual information or sum of square differences between images. Experimental results with a breast phantom show that the proposed method converges in few iterations in the presence of very large deformations, similar to those typically observed in breast biopsy applications.
机译:我们已经开发了一种适用于MR软组织成像的基于模型的自动可变形配准方法。配准算法使用组织变形的动态有限元(FE)连续力学模型将其3D术前图像与术中1)3D低分辨率或2)2D MR图像配准。配准是通过过滤过程实现的,该过滤过程基于相关率,互信息或图像之间的平方差之和,结合了变形模型的信息和观察误差。带有乳房体模的实验结果表明,在存在很大变形的情况下,所提出的方法在几次迭代中收敛,类似于在乳房活检应用中通常观察到的那些变形。

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