Evaluation of bivariate correlation ratio similarity metric for rigid registration of US/MR images of the liver
Evaluation of bivariate correlation ratio similarity metric for rigid registration of US/MR images of the liver
复制标题
肝脏 US/MR 图像刚性配准的双变量相关比相似度度量评估
DOI：
10.1007/s11548-009-0285-2
复制
发表时间：
2009
影响因子：
3
通讯作者：
T. Kadir
中科院分区：
文献类型：
--
作者：
Sergiy Milko;Eivind Lyche Melvær;E. Samset;T. Kadir
目的射频消融（RFA）可通过放置在肿瘤中心的射频探针沉积能量来微创治疗肝癌。该手术依赖于术前成像（通常为MRI或CT）进行介入计划，并依赖于超声（US）在针插入期间进行术中引导。视觉呈现的合作注册前和手术中的图像将有助于提高导航过程中的针positioningphase.MethodsIn本研究中，我们比较了六个注册方法使用不同的相似性度量：两个版本的相关比，二元相关比，和传统的归一化互信息和相关系数。通过计算八对MR和徒手3D US dataset.ResultsThe相关比计算的MR梯度范数和US图像之间的刚性配准的准确性，鲁棒性和速度进行了评估，在鲁棒性（40-82%）方面优于其他相似性度量，并表现出平均精度（0.32°，0.69 mm），这对于肝癌的RFA是临床上可接受的。结论我们观察到，所有相似性度量的性能在很大程度上取决于US图像的质量，重建的3D US的足够的视野和不存在运动伪影。
ObjectiveRadio frequency ablation (RFA) can be used to treat liver cancer minimally invasively by depositing energy from the RF probe placed in the center of the tumor. The procedure relies on pre-operative imaging (typically MRI or CT) for the interventional planning and ultrasound (US) for intra-operative guidance during needle insertion. Visual presentation of co-registered pre- and intra-operative images would help to improve the navigation during the needle positioning phase.MethodsIn the present study, we compared six registration methods using different similarity metrics: two versions of the correlation ratio, bivariate correlation ratio, and conventional normalized mutual information and correlation coefficient. The accuracy, robustness and speed were assessed by computing rigid registrations between eight pairs of the MR and freehand 3D US datasets.ResultsThe correlation ratio computed on the MR-gradient-norm and US images outperformed other similarity metrics in terms of robustness (40–82%) and demonstrated average accuracy (0.32°, 0.69 mm) which is clinically acceptable for the RFA of liver cancer.ConclusionsWe observed that the performance of all similarity metrics is largely dependent on the quality of the US images, sufficient field of view of the reconstructed 3D US and absence of motion artifacts.