A Novel Automatic Registration Method for Serial Brain Images
LI Shu-xiang · Zhongguo yixue wulixue zazhi · 2005
Registration of serial images plays an increasingly important role in medicine. A novel registration method used for serial images matching is propose d, which is based on the joint histogram. After thresholding the two images to b e registered, the joint histogram is divided into four separate regions. Then th e criterion function is defined as bin counting in a specific region of the join t histogram, which simplifies the computation of the criteria function greatly a nd speeds up the alignment process significantly. We choose the Powell optimizat ion algorithm to calculate the registration parameters. The comparison of the re sults from both mutual information and our method shows that the new method base d on segmentation and counting is a fast, simple, efficient and accurate registr ation method.