Non-linear registration of MR brain images integrated with machine learning
Wu, G.-r.; Qi, F.-h.
Zhongguo Yi Liao Qi Xie Za Zhi 30(4): 268-270
2006
ISSN/ISBN: 1671-7104 PMID: 17039935 Document Number: 598844
This paper presents a machine learning method to select best geometric features for deformable brain registration for each brain location. By incorporating those learned best attribute vector into the framework of HAMMER registration algorithm, The accuracy has increased by about 10% in estimating the simulated deformation fields. At the same time, on real MR brain images, we have found a great deal of improvement of registration in cortical regions.