Current methods of multimodal image registration usually seek to maximize the similarity measure of mutual information (MI) between two images over their region of overlap. In applications such as planned radiation therapy, a diagnostician is more concerned with registration over specific regions of interest (ROI) than registration of the global image space. Registration of the ROI can be unreliable because the typically small regions have limited statistics and thus poor estimates of entropies. We examine methods to improve ROI-based registration by using information from the global image space. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Wilkie, K. P., & Vrscay, E. R. (2005). Mutual information-based methods to improve local region-of-interest image registration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3656 LNCS, pp. 63–72). https://doi.org/10.1007/11559573_9
Mendeley helps you to discover research relevant for your work.