RAPID AUTOMATED ALGORITHM FOR ALIGNING AND RESLICING PET IMAGES
RAPID AUTOMATED ALGORITHM FOR ALIGNING AND RESLICING PET IMAGES
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DOI：
10.1097/00004728-199207000-00024
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发表时间：
1992-07-01
影响因子：
1.3
通讯作者：
MAZZIOTTA, JC
中科院分区：
文献类型：
--
作者：
WOODS, RP;CHERRY, SR;MAZZIOTTA, JC
描述了用于PET图像的三维（3D）比对的计算机算法。为了使两个图像对齐，算法以逐素为基础计算一个图像与另一个图像的比率，然后迭代地将图像相对于彼此移动，以最大程度地减少跨体素的比率的方差。由于该方法依赖于图像中的解剖信息，而不是外部基准标记，因此可以追溯地应用。使用3D脑幻影的验证研究表明，该算法将在各种位置获得的图像对齐，其最大位置误差通常小于Voxel（1.745 mm）的宽度。模拟的皮质激活位点不会干扰比对。重新调整的全球定量错误是
A computer algorithm for the three-dimensional (3D) alignment of PET images is described. To align two images, the algorithm calculates the ratio of one image to the other on a voxel-by-voxel basis and then iteratively moves the images relative to one another to minimize the variance of this ratio across voxels. Since the method relies on anatomic information in the images rather than on external fiducial markers, it can be applied retrospectively. Validation studies using a 3D brain phantom show that the algorithm aligns images acquired at a wide variety of positions with maximum positional errors that are usually less than the width of a voxel (1.745 mm). Simulated cortical activation sites do not interfere with alignment. Global errors in quantitation from realignment are