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Proceedings Paper

PCA and level set based non-rigid image registration for MRI and Paxinos-Watson atlas of rat brain
Author(s): Chao Cai; Ailing Liu; Mingyue Ding; Chengping Zhou
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Paper Abstract

Image registration provides the ability to geometrically align one dataset with another. It is a basic task in a great variety of biomedical imaging applications. This paper introduced a novel three-dimensional registration method for Magnetic Resonance Image (MRI) and Paxinos-Watson Atlas of rat brain. For the purpose of adapting to a large range and non-linear deformation between MRI and atlas in higher registration accuracy, based on the segmentation of rat brain, we chose the principle components analysis (PCA) automatically performing the linear registration, and then, a level set based nonlinear registration correcting some small distortions. We implemented this registration method in a rat brain 3D reconstruction and analysis system. Experiments have demonstrated that this method can be successfully applied to registering the low resolution and noise affection MRI with Paxinos-Watson Atlas of rat brain.

Paper Details

Date Published: 14 November 2007
PDF: 6 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891S (14 November 2007); doi: 10.1117/12.774741
Show Author Affiliations
Chao Cai, Huazhong Univ. of Science and Technology (China)
Ailing Liu, Huazhong Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)
Chengping Zhou, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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