Technical Program

Paper Detail

Paper:	FR-PM-PS2.1
Session:	Image Registration
Time:	Friday, April 7, 13:30 - 14:50
Presentation:	Poster
Title:	Improve Brain Registration Using Machine Learning Methods
Authors:	Guorong Wu; Shanghai Jiao Tong University
	Feihu Qi; Shanghai Jiao Tong University
	Dinggang Shen; University of Pennsylvania
Abstract:	Machine learning methods are introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for registration, which can actually be determined and learned from brain samples by a machine learning method. In this paper, we focus on investigating the best geometric features required by different brain regions, to match the correspondences and manage the registration procedure hierarchically. Compared to the conventional registration methods where no learning method is employed, our learning-based registration method is able to produce more consistent registration on serial images of the same subject and accurate registration on simulated dataset.

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