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An Efficient Locally Affine Framework for the Registration of Anatomical Structures.

Commowick O., Arsigny V., Costa J., Ayache N. and Malandain G.

ISBI 2006

Non-Rigid image registration has been widely developed over the last years. However, many registration techniques do not take into account any a priori information on the structures in the images. We present in this article a general locally affine registration framework, which allows us to register local areas in the images using affine transformations having few degrees of freedom. Thanks to our novel polyaffine framework and Log-Euclidean regularization, we ensure a smooth, coherent and invertible transformation all over the image. Remarkably, this is achieved very efficiently, even in 3D. We illustrate our method with two applications: bone registration in the lower abdomen area and critical brain structures registration.

Publications

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Segmentation of Anatomical Structures of the Lower Abdomen using 3D Deformable Surfaces.

Costa, J.
Ph.D. Thesis, March 2008
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An Efficient Locally Affine Framework for the Smooth Registration of Anatomical Structures.

Commowick O., Arsigny V., Isambert A., Costa J., et al.
Medical Image Analysis 2008
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Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models.

Costa J., et al.
MICCAI 2007
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Automatic Segmentation of the Bladder Using Deformable Models.

Costa, J., et al.
ISBI 2007
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An Efficient Locally Affine Framework for the Registration of Anatomical Structures.

Commowick O., Arsigny V., Costa J., Ayache N. and Malandain G.
ISBI 2006
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Towards an automatic delineation of lower abdomen structures for conformational radiotherapy based on CT images.

Costa J., et al.
SFPM 2005.
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Distributed Ontological Encoding Through Symbol Recirculation.

Costa J., Duboue P.
ASAI 2004.
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Distributed Ontological Encoding Through Symbol Recirculation.

Costa J.
Master's Thesis, 2003.