Medical image registration with partial data
Medical image registration with partial data
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DOI：
10.1016/j.media.2005.03.006
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发表时间：
2006-06-01
影响因子：
10.9
通讯作者：
Farid, H
中科院分区：
文献类型：
--
作者：
Periaswamy, S;Farid, H
我们开发了一种用于医学图像和体数据的通用配准算法。图像之间的变换被建模为局部仿射但全局平滑的，并且明确考虑了图像强度的局部和全局变化。还纳入了缺失数据的显式模型，使我们能够对具有部分或缺失数据的图像进行同时分割和配准。该算法建立在一个微分多尺度框架之上，并结合了期望最大化算法。我们表明，这种方法在配准一系列合成和临床医学图像方面非常有效。(c) 2005爱思唯尔有限公司。保留所有权利。
We have developed a general-purpose registration algorithm for medical images and volumes. The transformation between images is modeled as locally affine but globally smooth, and explicitly accounts for local and global variations in image intensities. An explicit model of missing data is also incorporated, allowing us to simultaneously segment and register images with partial or missing data. The algorithm is built upon a differential multiscale framework and incorporates the expectation maximization algorithm. We show that this approach is highly effective in registering a range of synthetic and clinical medical images. (c) 2005 Elsevier B.V. All rights reserved.