Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery
Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery
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DOI：
10.1007/bfb0056296
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发表时间：
1998-01-01
期刊：
影响因子：
--
通讯作者：
Jolesz, FA
中科院分区：
文献类型：
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作者：
Hata, N;Dohi, T;Jolesz, FA
在使用 MR 扫描仪进行介入治疗的背景下，提出了一种配准适应软组织变形的多模态医学图像的方法。通过任意变形的 MR 图像的准确性测试和猪脑的应用研究来评估该方法的可行性。当采用互信息作为匹配能量函数中的体素相似性度量时，该算法可以适应多模态图像。与刚性配准相结合，术前和术中多模态图像的可变形配准使外科医生能够精确定义关键的解剖结构，例如血管和功能区域，并定位和优化轨迹。该方法直接自动地应用于体积多模态图像。因此，该算法适用于需要稳定性和简单性的术中配准。
A method by which to register multimodality medical images accommodating soft tissue deformation is presented in the context of interventional therapy with a MR scanner. Accuracy testing with arbitrarily deformed MR images and application studies of a pig's brain were undertaken to evaluate the feasibility of the method. When Mutual Information is employed as the voxel similarity measure in the matching energy function, the algorithm can accommodate multimodality images. Coupled with rigid registration, the deformable registration of pre- and intraoperative multi-modality images enables surgeons to precisely define critical anatomical structures, such as vessels and functional areas, and to localize and optimize trajectories. The method directly and automatically works on volumetric multimodality images. Thus the algorithm is suitable for intraoperative registration, where stability and simplicity are desirable.