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MUTUAL INFORMATION BASED 3D NON-RIGID REGISTRATION OF CT/MR ABDOMEN IMAGES
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作者 胡海波 刘聚卑 +1 位作者 CHARLIE S.J.Xiao 庄天戈 《Journal of Shanghai Jiaotong university(Science)》 EI 2001年第2期171-175,共5页
A mutual information based 3D non-rigid registration approach was proposed for the registration of deformable CT/MR body abdomen images. The Parzen Windows Density Estimation (PWDE) method is adopted to calculate the ... A mutual information based 3D non-rigid registration approach was proposed for the registration of deformable CT/MR body abdomen images. The Parzen Windows Density Estimation (PWDE) method is adopted to calculate the mutual information between the two modals of CT and MRI abdomen images. By maximizing MI between the CT and MR volume images, the overlapping part of them reaches the biggest, which means that the two body images of CT and MR matches best to each other. Visible Human Project (VHP) Male abdomen CT and MRI Data are used as experimental data sets. The experimental results indicate that this approach of non-rigid 3D registration of CT/MR body abdominal images can be achieved effectively and automatically, without any prior processing procedures such as segmentation and feature extraction, but has a main drawback of very long computation time. 展开更多
关键词 medical image registration multi-modality mutual information non-rigid Parzen window density estimation
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直方图估计互信息在非刚性图像配准中的应用 被引量:9
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作者 陈昱 庄天戈 王合 《计算机学报》 EI CSCD 北大核心 2000年第4期444-447,共4页
提出了一种对非刚性三维医学图像进行弹性配准的新方法,配准判据是基于二维联合直方图估计得到的两幅图像灰度之间的互信息,首先最大化全局互信息,实现两幅图像之间的全局仿射配准;然后将两幅图像的重叠部分均匀地划分成互为重叠的... 提出了一种对非刚性三维医学图像进行弹性配准的新方法,配准判据是基于二维联合直方图估计得到的两幅图像灰度之间的互信息,首先最大化全局互信息,实现两幅图像之间的全局仿射配准;然后将两幅图像的重叠部分均匀地划分成互为重叠的体积子块,再最大化对应体积子块的图像灰度之间的互信息,实现每对对应子块的局部刚体配准,将每个子块的中心作为一一对应的控制点。最后利用这些控制点对结合薄平板样条插值法实现全局弹性配准。 展开更多
关键词 图像配准 非刚体 直方图 互信息 医学图像 CT
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