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Flows of diffeomorphisms for multimodal image registration

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3 Author(s)
Chefd'hotel, C. ; INRIA, Sophia-Antipolis, France ; Hermosillo, G. ; Faugeras, O.

We present a theoretical and computational framework for nonrigid multimodal registration. We proceed by minimization of statistical similarity criteria (global and local) in a variational framework, and use the corresponding gradients to drive a flow of diffeomorphisms allowing large deformations. This flow is introduced through a new template propagation method, by composition of small displacements. Regularization is performed using fast filtering techniques. This approach yields robust matching algorithms offering a good computational efficiency. We apply this method to compensate distortions between EPI images (fMRI) and anatomical MRI volumes.

Published in:

Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

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