A Deformable Registration Method for MRI Brain Images
Poonam Gadge1, Mukesh D. Patil1 and Sharayu Deote2
1Dept of Electronics, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai.
2Dept of Electronics, G H Raisoni College of Engineering, Nagpur.
This paper mainly contributes to the field of Image registration with the use of nonlinear locally adaptive transformations. Particularly problems connected to matching Magnetic Resonance Imaging (MRI) of brain images data obtained from various imaging condition are solved here. Registration is driven by local forces derived from multi-modal point similarity measures which are estimated with the use of joint intensity histogram and tissue probability maps. A Spatial deformation model imitating principles of continuum mechanics is used.
Keywords: Computational neuroanatomy, Deformable registration, Magnetic resonance imaging (MRI).
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