A Novel 3D Correspondence-Less Method for MRI and Paxinos-Watson Atlas of Rat Brain Registration
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.
Keywordsprinciple component analysis(PCA) Hausdorff distance image registration 3D reconstruction
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