Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation
Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation
复制标题
通过基于图像的配准和地标精度评估进行脑转移校正
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
W. Wein
中科院分区：
文献类型：
--
作者：
W. Wein
我们描述了一种算法及其实现细节，用于在神经外科手术期间将术中超声自动配准到MRI以进行脑移位校正。它在22个手术的公共数据库上进行回顾性评估，特别关注选择适当的转换模型和设计最有意义的评估策略。该方法在所有情况下都以全自动方式成功，刚性模型的平均地标配准误差为1.75 mm。
We describe an algorithm and its implementation details for automatic image-based registration of intra-operative ultrasound to MRI for brain-shift correction during neurosurgery. It is evaluated on a public database of 22 surgeries for retrospective evaluation, with a particular focus on choosing the appropriate transformation model and designing the most meaningful evaluation strategy. The method succeeds in a fully automatic fashion in all cases, with an average landmark registration error for the rigid model of 1.75 mm.