Structural and Functional Image Registration Using Maximum Mutual Information
Structural and Functional Image Registration Using Maximum Mutual Information
复制标题
使用最大互信息的结构和功能图像配准
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
Kang
中科院分区：
文献类型：
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作者：
Hsiao;H. Lin;Being;Kang
医学影像X线摄影技术是为临床诊断和应用而发展起来的。多模态图像配准旨在结合来自不同模态并在不同时间记录的医学图像信息。目的是使用最大互信息（MI）来配准医学图像，例如磁共振图像（MRI）和正电子发射断层扫描（PET）图像。图像配准系统被设计为两个阶段：MI估计和图像配准。其中一个阶段，MI是通过两个图像中相应体素的图像强度之间的统计依赖性或信息冗余来估计的。另一个阶段是通过估计MI迭代获得几何变换的参数。在本文中，开发了 2D 和 3D 配准技术并将其应用于医学图像研究。结果表明，该研究在图像配准中是有效的。该方法可行，适合临床应用。
The technique of medical image radiography is developed for clinical diagnosis and application. Multi-modality image registration is designed to combine the information of medical image from different modalities and record at different times. The purpose is to register medical images such as magnetic resonance images (MRI) and positron emission tomography (PET) images using maximum mutual information (MI). The image registration system is designed as two phases: estimation of MI and image registration. One of the phases, MI is estimated the by statistical dependence or information redundancy between the image intensity of corresponding voxels in both images. The other phase is the parameters of the geometric transformation that are iteratively obtained by estimation of MI. In this paper, 2-D and 3-D registration techniques were developed and applied to medical image studies. The results show that it will be effective to use this study in image registration. The method is both accomplishable and suitable for clinical application.