An efficient algorithm for registration of pre- and intra- operative brain MRI images to correct intensity inhomogeneity
An efficient algorithm for registration of pre- and intra- operative brain MRI images to correct intensity inhomogeneity
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一种有效的算法，用于注册术前和术中脑 MRI 图像以纠正强度不均匀性
DOI：
10.1109/isspa.2012.6310555
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
H. S. Rad
中科院分区：
文献类型：
--
作者：
A. Kazerooni;A. Ahmadian;H. Saberi;J. Alirezaie;H. S. Rad
空间变化的强度不均匀性是一种严重的伪影，它发生在脑的术中MR图像中。该伪影会影响神经外科手术期间执行的图像引导导航系统的准确性。因此，非常希望沿着配准过程校正强度不均匀性，以实现对图像引导手术约束的有效和自适应方法。在本文中，一个修改后的剩余复杂性相似性度量是用来纠正这种伪影与注册的术前和术中图像。结果表明，这种相似性度量比一些著名的相似性度量，如NMI和SSD的术前和术中脑图像的配准，31.5%。
Spatially-varying intensity inhomogeneity is a severe artifact, which occurs in intra-operative MR images of the brain. This artifact causes implications in the accuracy of image guided navigation systems being performed during neurosurgery procedures. Therefore, it is highly desirable to correct intensity inhomogeneity along with registration process to achieve an efficient and adaptive method to the image guided surgery constraints. In this paper, a modified Residual Complexity similarity measure is used to correct this artifact with the registration of pre- and intra-operative images. The results show that this similarity measure outperforms some well-known similarity measures such as NMI and SSD in registration of pre- and intra-operative images of the brain, by 31.5%.