Mizuta S, Minato K, Takahashi T, Yonekura Y, Uyama C
Department of Investigative Radiology, National Cardiovascular Center Research Institute, Osaka, Japan.
Comput Methods Programs Biomed. 1998 Mar;55(3):191-8. doi: 10.1016/s0169-2607(97)00064-3.
A rapid image matching algorithm for cerebral three-dimensional (3D) images is described. Fully automatic 3D image matching between images acquired the same modality and this was realized by applying the following sequential processes: (1) the calculation of one-dimensional (1D) projection patterns from both reference and input 3D images; (2) the matching between the two sets of 1D patterns; and (3) the transformation of input 3D image according to the pattern matching result. The 3D morphological variations among images due to shift and linear/non-linear scaling along projection axes were recovered, as well as compensation for mismatching due to image rotation and partial deficit of image data. The computation time of this method was quite short compared to that of the conventional 3D pattern matching method.
描述了一种用于脑三维（3D）图像的快速图像匹配算法。实现了相同模态采集图像之间的全自动3D图像匹配，这通过应用以下顺序过程来实现：（1）从参考3D图像和输入3D图像计算一维（1D）投影模式；（2）两组1D模式之间的匹配；以及（3）根据模式匹配结果对输入3D图像进行变换。恢复了由于沿投影轴的平移和线性/非线性缩放导致的图像之间的3D形态变化，以及对由于图像旋转和图像数据部分缺失导致的不匹配的补偿。与传统的3D模式匹配方法相比，该方法的计算时间相当短。
