Phase mutual information as a similarity measure for registration
Phase mutual information as a similarity measure for registration
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DOI：
10.1016/j.media.2005.01.002
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发表时间：
2005-08-01
影响因子：
10.9
通讯作者：
Brady, M
中科院分区：
文献类型：
--
作者：
Mellor, M;Brady, M
本文提出了一种多模式图像非刚性配准的新方法。在某种意义上，多模式图像配准通常通过对图像之间的强度映射进行建模来完成。这里，介绍了对局部图像相位之间的关系进行建模的替代策略。这种方法本质上是基于图像特征的，并且搜索特征外观之间的关系，而不是组织类别强度。这使得能够配准图像强度不是组织类别的简单函数的模式，例如超声波。实验还表明，即使当图像通过简单的强度变换相关时，该方法的性能也与强度方法相当，但对于破坏理想强度映射的图像伪影，相位方法具有明显更强的鲁棒性。(C)2005 Elsevier B.V.保留所有权利。
This article describes a new method for non-rigid alignment of multimodal images. Multimodal image registration is most often accomplished by modelling, in some sense, an intensity mapping between the images. Here, the alternative strategy of modelling a relationship between local image phase is introduced. This method is intrinsically image feature based, and searches for relationships between feature appearances, rather than tissue class intensity. This enables registration of modalities for which image intensity is not a simple function of tissue class, for example ultrasound. It is also demonstrated that this method performs comparably to an intensity method even when the images are related by a simple intensity transform, but that the phase method is significantly more robust to image artifacts which corrupt the ideal intensity mapping. (c) 2005 Elsevier B.V. All rights reserved.