iTree: Fast and accurate image registration based on the combinative and incremental tree

• Published in: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 1243 - 1246
• Main Authors: Hongjun Jia, Guorong Wu, Qian Wang, Minjeong Kim, Dinggang Shen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2011
• Subjects: Accuracy; combinative tree; Deformable models; Image registration; incremental tree; intermediate template; Principal component analysis; Registers; Shape; statistical model; Training

In this paper, a novel tree-based registration framework is proposed for achieving fast and accurate registration by providing a more appropriate initial deformation field for the image under registration. Specifically, in the training stage, all training real images and a selected portion of simula...