A novel 3d correspondence-less method for MRI and paxinos-watson atlas of rat brain registration

Authors:
Chao Cai;Mingyue Ding;Hao Lei;Jie Cao;Ailing Liu
Affiliations:
Institute for Pattern Recognition and Artificial Intelligence,State Education Commission Key Lab for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, ...;Institute for Pattern Recognition and Artificial Intelligence,State Education Commission Key Lab for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, ...;National Laboratory of Magnetic Resonance and A. & M. Physics, Wuhan Institute of Physics and Mathematics (WIPM) of the Chinese Academy of Sciences (CAS), Wuhan, China;Institute for Pattern Recognition and Artificial Intelligence,State Education Commission Key Lab for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, ...;Institute for Pattern Recognition and Artificial Intelligence,State Education Commission Key Lab for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, ...
Venue:
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Year:
2006

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Abstract

In this paper, a novel three-dimensional registration method for Magnetic Resonance Image (MRI) and Paxinos-Watson Atlas of rat brain involving 3D affine transformations is proposed. For the purpose of adapting to a large range of transform parameters in a high registration accuracy, the registration procedure includes two steps: a principle components analysis (PCA) based coarse registration and a Hausdorff distance based fine registration. Both steps are free from the correspondence of the feature points of MRI and Atlas. We implemented this registration method in a rat brain 3D reconstruction and analysis system. Experiments have demonstrated that this two-step method can be successfully applied to registering the low resolution and noise affection MRI with Paxinos-Watson Atlas of rat brain.