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目的应用多模医学图像配准,在颅内电极埋置术后对颅内电极进行精确定位。方法通过对颅内电极埋置前的头颅MRI图像和埋置后头颅CT图像进行配准,利用医学影像配准与分割工具包(ITK),将颅内电极位置准确地定位在MRI图像上,以建立电极位置与大脑解剖结构的联系。结果经过对10组断层图像进行配准定位,差值图像显示匹配程度较好,专家目测融合效果较为精确。在普通PC机上,以笔者所采用的数据为例,设定优化器初始步长为1,松弛因子为0.6,最小步长为0.000 2,最大迭代次数为100,整个电极定位的操作过程时间不超过1 min。结论多模医学图像配准对颅内电极定位较为准确,为医生提供了更加直观和完善的信息。
Objective To apply multimodal medical image registration to accurately locate intracranial electrodes after intracranial electrode implantation. Methods The MRI images of cranial electrodes before embedding and the images of cranial CT after embedding were registered. The position of intracranial electrodes was accurately located on the MRI images by using the Medical Image Registration and Segmentation Toolkit (ITK) To establish the connection between the electrode location and brain anatomy. Results After 10 sets of tomographic images were registered and aligned, the difference images showed a good match and the expert visual fusion effect was more accurate. On an ordinary PC, taking the data taken by the author as an example, the initial step of the optimizer is set to 1, the relaxation factor is 0.6, the minimum step length is 0.000 2, the maximum number of iterations is 100, and the whole electrode positioning operation time is not Over 1 min. Conclusion Multimodality medical image registration is more accurate for the localization of intracranial electrodes, providing doctors with more intuitive and complete information.