doi:10.3850/978-981-08-7304-2_1438

ABSTRACT

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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