Mellor Matthew, Brady Michael
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK.
Med Image Anal. 2005 Aug;9(4):330-43. doi: 10.1016/j.media.2005.01.002. Epub 2005 Apr 21.
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.
本文介绍了一种用于多模态图像非刚性配准的新方法。多模态图像配准通常是通过在某种意义上对图像之间的强度映射进行建模来完成的。在此，引入了对局部图像相位之间关系进行建模的替代策略。该方法本质上是基于图像特征的，它搜索特征外观之间的关系，而不是组织类别强度之间的关系。这使得对于图像强度不是组织类别简单函数的模态（例如超声）也能够进行配准。还证明了即使图像通过简单的强度变换相关联，该方法的性能也与强度方法相当，但相位方法对破坏理想强度映射的图像伪影具有显著更强的鲁棒性。
