Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction

Authors:
Vincent Noblet;Christian Heinrich;Fabrice Heitz;Jean-Paul Armspach
Affiliations:
Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, LSIIT, UMR CNRS-ULP 7005, Illkirch Cedex, France 67412;Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, LSIIT, UMR CNRS-ULP 7005, Illkirch Cedex, France 67412;Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, LSIIT, UMR CNRS-ULP 7005, Illkirch Cedex, France 67412;Laboratoire d'Imagerie et de Neurosciences Cognitives, LINC, UMR CNRS-ULP, Strasbourg Cedex, France 67085
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

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Abstract

Image registration aims at estimating a consistent mapping between two images. Common techniques consist in choosing arbitrarily one image as a reference image and the other one as a floating image, thus leading to the estimation of inconsistent mappings. We present a symmetric formulation of the registration problem that maps the two images in a common coordinate system halfway between them. This framework has been considered to devise an efficient strategy for mapping a large set of images in a common coordinate system. Some results are presented in the context of 3-D nonrigid brain MR image registration for the construction of average brain templates.