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首页> 外文期刊>IEEE transactions on evolutionary computation >Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods
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Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods

机译:使用进化和基于梯度的方法对脊柱CT和术中3-D超声图像进行配准

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摘要

A system for the registration of computed tomography and 3-D intraoperative ultrasound images is presented. Three gradient-based methods and one evolutionary algorithm are compared with regard to their suitability to solve this image registration problem. The system has been developed for pedicle screw insertion during spinal surgery. With clinical preoperative and intraoperative data, it is demonstrated that precise registration is possible within a realistic range of initial misalignment. Significant differences can be observed between the optimization methods. The covariance matrix adaptation evolution strategy shows the best overall performance, only four of 12 000 registration trials with patient data failed to register correctly.
机译:提出了一种用于计算机断层摄影和3-D术中超声图像配准的系统。比较了三种基于梯度的方法和一种进化算法在解决该图像配准问题方面的适用性。该系统已开发用于脊柱外科手术中的椎弓根螺钉插入。借助临床术前和术中数据,可以证明在实际的初始未对准范围内可以进行精确配准。在优化方法之间可以观察到显着差异。协方差矩阵适应性进化策略显示出最佳的整体性能,在具有患者数据的12 000个注册试验中,只有4个未能正确注册。

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