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. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Noblet, V., Heinrich, C., Heitz, F., & Armspach, J. P. (2008). Symmetric nonrigid image registration: Application to average brain templates construction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5242 LNCS, pp. 897–904). Springer Verlag. https://doi.org/10.1007/978-3-540-85990-1_108
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